• Journal of Medicine and Life Science
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• v.17 no.3
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• pp.80-85
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• 2020

Urinary tract infections are among the most common infectious diseases and are the major causes of mortality and morbidity. These diseases result in many severe hospitalizations each year. Severe sepsis and septic shock are common and life-threatening medical conditions, and large cases are associated with urinary tract infection. The medical term "severe sepsis" is defined as sepsis complicated by hypotension, organ dysfunction, and tissue hypoperfusion, whereas "septic shock" is defined as sepsis complicated either by hypotension that is refractory to fluid resuscitation or by hyperlacteremia. A recent multicenter-study in Korea reported that the rate of in-hospital mortality associated with severe sepsis and septic shock was > 34%. Among the causative diseases, urogenital tract infection showed a high correlation. Moreover, it is very important that clinicians detect severe sepsis and septic shock early and treat them properly. The principles of initial treatment include provision of sufficient hemodynamic resuscitation and early administration of appropriate antibiotic therapy to mitigate uncontrolled infection. Initial resuscitation includes the use of vasopressors and intravenous fluids, and it is a key to achieve the target of initial resuscitation. Supportive care in the intensive care unit, such as glucose control, stress ulcer prophylaxis, blood transfusion, deep vein thrombosis prophylaxis, and renal replacement therapy, is also significant. We have summarized the key components in the treatment of severe sepsis and septic shock in patients with urinary tract infection. Urologists should be aware that appropriate early treatment is necessary to prevent fatal outcomes in these patients.

• Archives of Plastic Surgery
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• v.49 no.5
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• pp.676-682
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• 2022

Background Virtual education is an evolving method for teaching medical learners. During the coronavirus disease 2019 pandemic, remote learning has provided a replacement for conferences, lectures, and meetings, but has not been described as a method for conducting a cadaver dissection. We aim to demonstrate how learners perceive a virtual cadaver dissection as an alternative to live dissection. Methods A virtual cadaver dissection was performed to demonstrate several upper extremity nerve procedures. These procedures were livestreamed as part of an educational event with multimedia and interactive audience questions. Participants were queried both during and after the session regarding their perceptions of this teaching modality. Results Attendance of a virtual dissection held for three plastic surgery training institutions began at 100 and finished with 70 participants. Intrasession response rates from the audience varied between 68 and 75%, of which 75% strongly agreed that they were satisfied with the virtual environment. The audience strongly agreed or agreed that the addition of multimedia captions (88%), magnified video loupe views (82%), and split-screen multicast view (64%) was beneficial. Postsession response rate was 27%, and generally reflected a positive perspective about the content of the session. Conclusions Virtual cadaver dissection is an effective modality for teaching surgical procedures and can be enhanced through technologies such as video loupes and multiple camera perspectives. The audience viewed the virtual cadaver dissection as a beneficial adjunct to surgical education. This format may also make in-person cadaver courses more effective by improving visualization and allowing for anatomic references to be displayed synchronously.

• Geomechanics and Engineering
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• v.28 no.5
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• pp.505-520
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• 2022

In recent years, geotextile-encased gravel columns (usually called stone columns) have become a popular method to increasing soil shear strength, decreasing the settlement, acceleration of the rate of consolidation, reducing the liquefaction potential and increasing the bearing capacity of foundations. The behavior of improved loose base-soil with gravel columns under shear loading and the shear stress-horizontal displacement curves got from large scale direct shear test are of great importance in understanding the performance of this method. In the present study, by performing 36 large-scale direct shear tests on sandy base-soil with different fine-content of zero to 30% in both not improved and improved with gravel columns, the effect of the presence of gravel columns in the loose soils were investigated. The results were used to predict the shear stress-horizontal displacement curve of these samples using support vector machines (SVM). Variables such as the non-plastic fine content of base-soil (FC), the area replacement ratio of the gravel column (Arr), the geotextile encasement and the normal stress on the sample were effective factors in the shear stress-horizontal displacement curve of the samples. The training and testing data of the model showed higher power of SVM compared to multilayer perceptron (MLP) neural network in predicting shear stress-horizontal displacement curve. After ensuring the accuracy of the model evaluation, by introducing different samples to the model, the effect of different variables on the maximum shear stress of the samples was investigated. The results showed that by adding a gravel column and increasing the Arr, the friction angle (ϕ) and cohesion (c) of the samples increase. This increase is less in base-soil with more FC, and in a proportion of the same Arr, with increasing FC, internal friction angle and cohesion decreases.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.2
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• pp.212-220
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• 2023

Over the past 50 years, red sea bream Pagrus major has been selectively bred for more than 10 generations to improve its growth rate. However, the effect of genetic factors on growth under low- or non-fish meal diet is still unclear. Here, we analyzed 251 individuals randomly mating 21 females (dam) and 16 males (sire) to determine the difference in growth between non-fish meal (i.e., treatment group) and fish meal-based diet (i.e., control group), if any. The kinship coefficient between each group of individuals and their parents was estimated by the KING (Kinship-based Inference for GWASs) software package. The presumed parents of 74 individuals in the treatment group and 57 individuals in the control group could be effectively identified. Notably, one specific female was consistently related to high- rather than low-growth individuals in both groups. In addition, more than one parent in each group was related to either high- or low-growth individuals. Parents of both high-growth individuals in the treatment group and low-growth individuals in the control group were also identified. Although further study is required on various growth factors, this study suggests the possibility of selective breeding under non-fish meal diet.

• Steel and Composite Structures
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• v.45 no.3
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• pp.389-408
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• 2022

Residual capacity is defined as the load carrying capacity of an RC column after undergoing severe damage. Evaluation of residual capacity of RC columns is necessary to avoid damage initiation in RC structures. The central aspect of the current research is to propose an empirical formula to estimate the residual capacity of RC columns after undergoing severe damage. This formula facilitates decision making of whether a replacement or a repair of the damaged column is adequate for further use. Available literature mainly focused on the simulation of explosion loads by using simplified pressure time histories to develop residual capacity of RC columns and rarely simulated the actual explosive. Therefore, there is a gap in the literature concerning general relation between blast damage of columns with different explosive loading conditions for a reliable and quick evaluation of column behavior subjected to blast loading. In this paper, the Arbitrary Lagrangian Eulerian (ALE) technique is implemented to simulate high fidelity blast pressure propagations. LS-DYNA software is utilized to solve the finite element (FE) model. The FE model is validated against the practical blast tests, and outcomes are in good agreement with test results. Multivariate linear regression (MLR) method is utilized to derive an analytical formula. The analytical formula predicts the residual capacity of RC columns as functions of structural element parameters. Based on intensive numerical simulation data, it is found that column depth, longitudinal reinforcement ratio, concrete strength and column width have significant effects on the residual axial load carrying capacity of reinforced concrete column under blast loads. Increasing column depth and longitudinal reinforcement ratio that provides better confinement to concrete are very effective in the residual capacity of RC column subjected to blast loads. Data obtained with this study can broaden the knowledge of structural response to blast and improve FE models to simulate the blast performance of concrete structures.

• Journal of the Korean Orthopaedic Association
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• v.54 no.2
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• pp.100-109
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• 2019

The rapidly increasing rate of shoulder arthroplasty is certain to increase the number of revision arthroplasties because of parallel increases in complication numbers. It has been widely reported that the causes of revision shoulder arthroplasty include rotator cuff deficiency, instability, glenoid or humeral component loosening, implant failure, periprosthetic fracture, and infection. Revision arthroplasty can be technically challenging, and surgical options available for failed shoulder arthroplasty are limited, especially in patients with glenoid bone loss or an irreparable rotator cuff tear. Furthermore, the outcomes of revision arthroplasty are consistently inferior to those of primary arthroplasty. Accordingly, surgical decision making requires a good understanding of the etiology of failure. Here, we provide a review of indications of revision arthroplasty and of the surgical techniques used by failure etiology.

• Journal of the Korean Society of Food Culture
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• v.38 no.3
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• pp.163-175
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• 2023

This study aimed to examine the operations of school food services to prevent the spread of coronavirus disease 2019 (COVID-19) in schools nationwide. The survey data on school food service operations targeting nutrition teachers and nutritionists at 1,023 schools in 2020 and 1,177 schools in 2021 were used. The year 2021 saw an increase compared to 2020 in the following: 'average days to be served with meals for a year (144.5 vs. 184.7)', 'provided meals to all students (92.3% vs. 96.6%)', 'utilization of additional staff for foodservice assistance (33.4% vs. 38.8%)', 'installation of partitions (61.2% vs. 83.8%)', 'provision of general diet (96.1% vs. 99.1%)', and 'use of kitchen utensils (91.3% vs. 95.1%)', 'use of cafeteria water cup (9.9% vs. 31.0%)' and 'use of drinking water in school (46.8% vs. 52.1%)'. Compared to 2020, in 2021, it was confirmed that the school food service operations stabilized due to the increase in the normal school attendance rate and that systems were in place for operations during the COVID-19 pandemic. In the future, it will be necessary to develop manuals and special recipes necessary for responding to infectious diseases, and to operate a manpower pool that can quickly find replacement personnel if required.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.570-573
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• 2022

This paper presents the identification of void diameters for a cast-resin transformer using an artificial neural network (ANN) model. A PD signal was measured by the Rogowski coil sensor which has the planar and thin structures fabricated on a printed circuit board (PCB), and the PD electrode system was fabricated to simulate a PD defect by a void. In addition, void samples with different diameters were fabricated by injecting air in a cylindrical aluminum frame using a syringe during the epoxy curing process. To identify the diameter of void defects, PD characteristics such as the discharge magnitude, pulse count, and phase angle were extracted and back propagation algorithm (BPA) was designed using virtual instrument (VI) based on the Labview program. From the experimental results, the BPA algorithm proposed in this paper has over 90% accurate rate to identify the diameter of void defects and is expected to use reference data of maintenance and replacement of insulation for cast-resin transformers in the on-site PD measurement.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.4
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• pp.341-348
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• 2023

In this study, in order to minimize the increase in the amount of various industrial by-products due to the rapid growth of the industry and the intensification of the depletion of natural aggregate resources, the material test using recycled aggregate and steelmaking slag and the proper mixing ratio of recycled concrete were to be derived. In this study, first, the conformity of the quality standards of the materials used in the field was confirmed, and the workability and molding results were shown when used alone or mixed. Therefore, the feasibility of application as aggregate for concrete was evaluated through a total of 4-type mixtures of cement types, admixtures, coarse aggregates, and fine aggregates. As a result of the experiment, it was confirmed that the slump of unhardened concrete, the amount of air, chloride and compressive strength of hardened concrete according to the replacement rate were different from the measured values of general concrete quality characteristics. According to this, it was confirmed that the quality characteristics of the standard design criteria were satisfied.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.57-66
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• 2023

Asset valuation of social infrastructure is essential for rational decision-making for efficient management of assets. In addition, it can be an indicator for correctly recognizing assets. In general, Korea applies depreciated replacement cost based on the straight-line method to evaluate asset value, yet this is unsuitable for evaluating actual value because it is depreciated at a constant rate over the useful life period. In order to evaluate the asset value considering the performance of the bridge, the performance index of the bridge is estimated using the Weibull distribution. Using the estimated performance indicators and defect index, a new asset value evaluation method is proposed and compared and analyzed with the existing method. The proposed valuation method can take into account the performance of the bridge, so it is judged to be more objective and reasonable than existing method.