Park, Taeshin;Yoo, Hyunjung;Lee, Jeongmin;Cho, Woosun;Jeong, Heyseung
The Korean Society of Law and Medicine
/
v.23
no.2
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pp.171-209
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2022
There were also many medical-related rulings in 2021, among which the rulings reviewed in this paper are as follows. The first relates to a case in which the medical record, which is the primary judgment data regarding the presence or absence of medical negligence, has been modified. The court judged whether there was negligence on the basis of the first written medical record without considering the contents of the medical record that was later modified. Next, the ruling on the case of asking for liability for damages for prescription of anti-obesity drugs recognized negligence related to prescription, but denied liability for property damage by denying a causal relationship, and recognized only alimony for violation of the duty of explanation. The a full-bench ruling on the scope of subrogation of the National Health Insurance Corporation, which subrogates the claims for compensation for medical expenses against the perpetrator of the patient, changed the existing precedent that had taken the 'deduction method after offsetting negligence' and judged it as 'the method of offsetting negligence after deduction'. In addition, in the ruling on whether or not there was negligence, the court was not bound by the medical record appraisal result. Lastly, in relation to the National Health Insurance Service's disposition of reimbursement for medical care benefit costs, we reviewed the ruling that discretion should be exercised even when a non-medical person makes a refund to a medical institution opened by a non-medical person. And we also reviewed the ruling that the scope of reimbursement for medical institutions jointly using facilities and manpower specifically should be determined.
Kim, Jae Hyun;Seol, Seong Hoon;Chung, Chan Min;Park, Myong Chul;Cho, Sang Hun
Journal of the Korean Burn Society
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v.24
no.2
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pp.68-73
/
2021
Purpose: A large defect by fourth-degree burns in the upper limb requires flap reconstruction. Since severe vascular damage and decrease in blood circulation after vascular anastomosis can occur in defects caused by fourth-degree burns. Because of the disadvantages, it is difficult to apply free flap surgery to fourth-degree burns. We reconstructed a upper extremity using the pedicled Latissimus Dorsi (LD) flap in two stages. The purpose of our study is to review our experience and suggest two-staged pedicled Latissimus Dorsi (LD) flap in fourth-degree burns of upper extremities. Methods: A retrospective review was performed from 2016 to 2019, on a total of 12 fourth-degree burn patients undergone two-staged pedicled LD flap surgery as reconstruction of upper extremities in our hospital. We reviewed the location of the injury, etiology, TBSA (%), size of burns requiring flap surgery, period from 1st surgery to secondary division surgery, complications. Results: Using two-staged LD flap as a primary reconstruction, the outcome is satisfactory. This flap preserves the elbow joint and maintains the length of the forearm. We obtain low donor-site morbidity, simplicity and a small incision in the donor site. Conclusion: Using two-staged LD flap in fourth-degree burns of upper extremity is effective, such as preserving elbow joint and maintaining the length of the forearm. Successful reconstruction was achieved with excellent cosmetic results with reducing a postoperative scar, donor-site morbidity. Due to these advantages, two-staged pedicled LD flap can be an optimal option for reconstruction of fourth-degree burns in the upper limb.
Kim, Junghee;Kim, Eun Jin;Kang, Dahye;Kim, Hyung-Bin;Jang, Jae Young;Om, Ae-Son;Kim, Jongwook
Journal of Food Hygiene and Safety
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v.37
no.3
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pp.198-205
/
2022
Hepatic diseases are divided into two types: alcoholic and non-alcoholic. Non-alcoholic liver injury finally induces fatty liver and damages liver function. Many studies have demonstrated that Ecklonia stolonifera has antioxidative, anti-inflammatory, and hepatoprotective activities. We conducted a 12-week double-blind, placebo-controlled, randomized trial to examine the efficacy of E. stolonifera extracts (ESE) on biochemical markers of hepatic function. Sixty-five subjects with mild or moderate liver injuries were randomly allocated to receive either 420 mg/d of ESE or a placebo for 12 weeks. Fifty-five participants completed the trial. No significant adverse events were observed among the subjects during the study. The primary end points were changes in plasma levels of aspartate transaminase (AST), alanine transaminase (ALT), and γ-glutamyltransferase (γ-GT). The secondary end points were changes in lipid profile levels, including total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL). Compared with the baseline, AST and ALT levels decreased significantly in the ESE group compared to those in the placebo group (P<0.001). In addition, γ-GT levels in the ESE group were significantly lower than those in the placebo group (P=0.016). There were no differences in the TC, TG, HDL, and LDL levels between groups. In conclusion, ESE consumption for 12 weeks improved liver parameters in subjects with liver injury. Regular consumption of ESE could maintain liver health in individuals at risk of hepatic damage.
K.R. Sri Preethaa;N. Yuvaraj;Gitanjali Wadhwa;Sujeen Song;Se-Woon Choi;Bubryur Kim
Wind and Structures
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v.36
no.4
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pp.237-247
/
2023
The emergence of high-rise buildings has necessitated frequent structural health monitoring and maintenance for safety reasons. Wind causes damage and structural changes on tall structures; thus, safe structures should be designed. The pressure developed on tall buildings has been utilized in previous research studies to assess the impacts of wind on structures. The wind tunnel test is a primary research method commonly used to quantify the aerodynamic characteristics of high-rise buildings. Wind pressure is measured by placing pressure sensor taps at different locations on tall buildings, and the collected data are used for analysis. However, sensors may malfunction and produce erroneous data; these data losses make it difficult to analyze aerodynamic properties. Therefore, it is essential to generate missing data relative to the original data obtained from neighboring pressure sensor taps at various intervals. This study proposes a deep learning-based, deep convolutional generative adversarial network (DCGAN) to restore missing data associated with faulty pressure sensors installed on high-rise buildings. The performance of the proposed DCGAN is validated by using a standard imputation model known as the generative adversarial imputation network (GAIN). The average mean-square error (AMSE) and average R-squared (ARSE) are used as performance metrics. The calculated ARSE values by DCGAN on the building model's front, backside, left, and right sides are 0.970, 0.972, 0.984 and 0.978, respectively. The AMSE produced by DCGAN on four sides of the building model is 0.008, 0.010, 0.015 and 0.014. The average standard deviation of the actual measures of the pressure sensors on four sides of the model were 0.1738, 0.1758, 0.2234 and 0.2278. The average standard deviation of the pressure values generated by the proposed DCGAN imputation model was closer to that of the measured actual with values of 0.1736,0.1746,0.2191, and 0.2239 on four sides, respectively. In comparison, the standard deviation of the values predicted by GAIN are 0.1726,0.1735,0.2161, and 0.2209, which is far from actual values. The results demonstrate that DCGAN model fits better for data imputation than the GAIN model with improved accuracy and fewer error rates. Additionally, the DCGAN is utilized to estimate the wind pressure in regions of buildings where no pressure sensor taps are available; the model yielded greater prediction accuracy than GAIN.
The Journal of The Korea Institute of Intelligent Transport Systems
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v.22
no.2
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pp.105-116
/
2023
The fatality rate of secondary accidents is seven times that of general traffic accidents. If limited to highways, one in four deaths are said to occur from secondary accidents. Unexpected situations which do not give drivers time to prepare are the cause of secondary accidents. This risk results in more fatalities on highways with high driving speeds. Existing studies have conducted research on traffic accidents and on secondary traffic accidents that occur after a primary traffic accident, without considering unexpected situations that may occur on the road. Therefore, to reduce damage and casualties caused by secondary accidents, there is a need to create a safe road environment by removing the possibility of causing accidents. This study analyzes whether the day of occurrence, time of occurrence, and radius of the curve of an unexpected situation are related to the occurrence of an unexpected situation. This study was based on data of accidents that occurred in 2022 on the Cheonan-Nonsan Expressway and the Seoul-Yangyang Expressway. The radius of the curve was calculated by dividing the section of the highway into straight, clothoid, and curved sections through cluster analysis. Results of the analysis indicate that the day and time of occurrence and the curve radius are associated with unexpected situations.
The purpose of this study is to collect and analyze information related to water leaks that cannot be easily accessed, and utilized by using the news search results that people can easily access. We applied a web crawling technique for extracting big data news on water leakage accidents in the water supply system and presented an algorithm in a procedural way to obtain accurate leak accident news. In addition, a data analysis technique suitable for water leakage accident information analysis was developed so that additional information such as the date and time of occurrence, cause of occurrence, location of occurrence, damaged facilities, damage effect. The primary goal of value extraction through big data-based leak analysis proposed in this study is to extract a meaningful value through comparison with the existing waterworks statistical results. In addition, the proposed method can be used to effectively respond to consumers or determine the service level of water supply networks. In other words, the presentation of such analysis results suggests the need to inform the public of information such as accidents a little more, and can be used in conjunction to prepare a radio wave and response system that can quickly respond in case of an accident.
KSCE Journal of Civil and Environmental Engineering Research
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v.26
no.5D
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pp.821-829
/
2006
Traffic load comprise primary input to pavement design causing pavement damage. therefore it should be proceeded suitable traffic load distribution modeling for pavement design and analysis. Traffic load have been represented by equivalent single axle loads (ESALs) which convert mixed traffic stream into one value for design purposes. But there are some limit to apply ESALs to other roads because it is empirical value developed as part of the original AASHO(American Association of State Highway Officials) road test. There have been many efforts to solve these problems. Several leading country have implemented M-E(Mechanistic-Empirical) design procedures based on mechanical concept. As a result, they established traffic load quantification method using load distribution model known as Axle Load Spectra. This paper details Axle Load Spectra and presents axle load distribution model based on normal mixture distribution function using truck load data collected by WIM system installed in national highway. Axle load spectra and axle load distribution model presented in this paper could be useful for basic data when making traffic load quantification plan for pavement design, overweight vehicle permit plan and pavement maintenance cost plan.
Beom-Sik Moon;Tae-Goun Kim;Chae-uk Song;Young-Jin Kim
Journal of Navigation and Port Research
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v.47
no.3
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pp.128-133
/
2023
In order for Aids to Navigation to provide sustainable services to users, it is possible when there is no Aids to Navigation accident. If an Aids to Navigation accident occurs, the manager should efficiently manage it to prevent the same accident. However, the current Aids to Navigation accident management only specifies the cause and type of the accident. There are no separate guidelines. Thus, the accident is recorded differently depending on the manager. Therefore, this study attempted to redefine Aids to Navigation accident. To this end, Aids to Navigation accidents that have occurred over the past 23 years (year 2000 to years 2022), IALA's Aids to Navigation information standard, S-201, and categories of accidents (traffic accidents and marine accidents) were analyzed. Causes of Aids to Navigation accidents were divided into internal and external causes. Accidents were divided into three types: Light tower accident, buoy accident, and equipment accident. By further subdividing primary items, the cause of accident was reestablished into 7 items such as mooring and bad weather and 11 items such as Light tower damage, buoy loss, and equipment breakdown. These research results can be used as basic data to provide future Aids to Navigation accident statistics.
Hakyung Kwon;Jae Ah Choi;Moon Young Kim;Suk-Ha Lee
Proceedings of the Korean Society of Crop Science Conference
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2022.10a
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pp.25-25
/
2022
Drought becomes frequent and severe because of continuous global warming, leading to a significant loss of crop yield. In soybean (Glycine max [L.]), most of quantitative trait loci (QTLs) analyses for drought tolerance have conducted by investigating yield changes under water-restricted conditions at the reproductive stages. More recently, the necessity of QTL studies to use physiological indices responding to drought at the early growth stages besides the reproductive ones has arisen due to the unpredictable and prevalent occurrence of drought throughout the soybean growing season. In this study, we thus identified QTLs conferring wilting scores and moisture contents of soybean subjected to drought stress in the early vegetative stage using an recombinant inbred line (RIL) population derived from a cross between Taekwang (drought-sensitive) and SS2-2 (drought-tolerant). For the two traits, the same major QTL was located on chromosome 10, accounting for up to 11.5% of phenotypic variance explained with LOD score of 12.5. This QTL overlaps with a reported QTL for the limited transpiration trait in soybean and harbors an ortholog of the Arabidopsis ABA and drought-induced RING-D UF1117 gene. Meanwhile, one of important features of plant drought tolerance is their ability to limit transpiration rates under high vapor pressure deficiency in response to mitigate water loss. However, monitoring their transpiration rates is time-consuming and laborious. Therefore, only a few population-level studies regarding transpiration rates under the drought condition have been reported so far. Via employing an Arduino-based platform, for the reasons addressed, we are measuring and recording total pot weights of soybean plants every hour from the 1st day after water restriction to the days when the half of the RILs exhibited permanent tissue damage in at least one trifoliate. Gradual decrease in moisture of soil in pots as time passes refers increase in the severity of drought stress. By tracking changes in the total pot weights of soybean plants, we will infer transpiration rates of the mapping parents and their RILs according to different levels of VPD and drought stress. The profile of transpiration rates from different levels of severity in the stresses facilitates a better understanding of relationship between transpiration-related features, such as limited maximum transpiration rates, to water saving performances, as well as those to other drought-responsive phenotypes. Our findings will provide primary insights on drought tolerance mechanisms in soybean and useful resources for improvement of soybean varieties tolerant to drought stress.
Gastritis is an inflammation of the gastric mucosa and gastric ulcers are a break in the mucosa of the stomach lining. Past research on gastritis and gastric ulcers has been mainly conducted from the perspective that environmental factors are the primary cause of these gastric diseases. However, recently the importance of genetic factors has been emphasized due to current developments in genetic research. The SLC25A26 gene is believed to be associated with the accumulation of reactive oxygen species. Oxidative stress promotes an inflammatory response, which increases the production of free radicals and causes cellular damage, and these lead to the development of gastric diseases. In this study, the correlation between SLC25A26 and gastric diseases was analyzed. Polymorphisms in SLC25A26 were analyzed in 1,369 domestic gastric disease patients and 7,471 healthy controls. As a result, 11 single nucleotide polymorphisms (SNPs) (in the genotype) and 13 SNPs (in the imputation) showed statistical significance (P<0.05), and high relative risk of gastric diseases. Among them, the rs13874 allele of SLC25A26 showed a highly significant association with gastric diseases. In the genotype-based mRNA expression analysis, the minor allele (C) group showed increased mRNA expression and this could increase oxidative stress. In conclusion, SLC25A26 polymorphisms are associated with gastric diseases. These results may provide a basis for new guidelines for gastric disease management in the Korean population.
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