• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.2
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• pp.17-28
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• 2024

In order to achieve the management goals (30by30) mandated by the Kunming-Montreal Global Biodiversity Framework, this study established the site-level assessment criteria for OECMs, tailored to domestic circumstances using the Delphi analysis. Subsequently, a site-level assessment was conducted on the National Gariwangsan Natural Recreation Forest. As a result of the study, the initial step involved presenting criteria for the site-level assessment of OECMs, with 'consent for the assessment and recognition of OECM by competent and management authority' proposed as a prerequisite. Subsequently, seven evaluation criteria were established, including 'other than a legally protected area', 'spatially separated area with defined boundaries', 'effective in-situ conservation of biodiversity', 'sustainable management based on the competent and management authority', 'long-term sustainability of conservation outcomes', and 'provision of ecosystem services'. The results of applying site-level assessment criteria to the National Gariwangsan Natural Recreation Forest indicate that six criteria were met, while one criterion (sustainable management based on the competent and management authority) requires further improvement. Specifically, the key competent and management authorities for the National Gariwangsan Natural Recreation Forest are the Korea Forest Service and the National Natural Recreation Forest Management Office, with competent and management organizations established. However, the management focus is primarily on providing forest recreation services centered on users and facilities, making it difficult to confirm the long-term biodiversity conservation plans and implementation by the competent and management authorities. Therefore, it is deemed necessary to improve the long-term biodiversity conservation plans and implementation for the recognition of the National Gariwangsan Natural Recreation Forest as an OECM.

• Journal of Trauma and Injury
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• v.37 no.1
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• pp.20-27
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• 2024

Purpose: Severe abdominal injuries often require immediate clinical assessment and surgical intervention to prevent life-threatening complications. In Jeju Regional Trauma Center, we have instituted a protocol for emergency department (ED) laparotomy at the trauma bay. We investigated the mortality and time taken from admission to ED laparotomy. Methods: We reviewed the data recorded in our center's trauma database between January 2020 and December 2022 and identified patients who underwent laparotomy because of abdominal trauma. Laparotomies that were performed at the trauma bay or the ED were classified as ED laparotomy, whereas those performed in the operating room (OR) were referred to as OR laparotomy. In cases that required expeditious hemostasis, ED laparotomy was performed appropriately. Results: From January 2020 to December 2022, 105 trauma patients admitted to our hospital underwent emergency laparotomy. Of these patients, six (5.7%) underwent ED laparotomy. ED laparotomy was associated with a mortality rate of 66.7% (four of six patients), which was significantly higher than that of OR laparotomy (17.1%, 18 of 99 patients, P=0.006). All the patients who received ED laparotomy also underwent damage control laparotomy. The time between admission to the first laparotomy was significantly shorter in the ED laparotomy group (28.5 minutes; interquartile range [IQR], 14-59 minutes) when compared with the OR laparotomy group (104 minutes; IQR, 88-151 minutes; P<0.001). The two patients who survived after ED laparotomy had massive mesenteric bleeding, which was successfully ligated. The other four patients, who had liver laceration, kidney rupture, spleen injury, and pancreas avulsion, succumbed to the injuries. Conclusions: Although ED laparotomy was associated with a higher mortality rate, the time between admission and ED laparotomy was markedly shorter than for OR laparotomy. Notably, major mesenteric hemorrhages were effectively controlled through ED laparotomy.

• Journal of the Korean Society of Radiology
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• v.83 no.1
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• pp.138-148
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• 2022

Purpose This study evaluated the rates and annual trends of pediatric CT scans in South Korea using a nationwide population-based database. Materials and Methods Data regarding pediatric CT scan usage between 2012 and 2017 were retrieved from the health insurance review and assessment service. Data on the age, sex, diagnosis, and the anatomical area of involved patients were also extracted. Results A total of 576376 CT examinations were performed among 58527528 children aged below 18 years (9.8 scans/1000 children), and the number of CT examinations per 1000 children was noted to have increased by 23.2% from 9.0 in 2012 to 11.0 in 2017. Specifically, the number of CT examinations increased by 32.9% for the 6-12 years of age group (7.4/1000 to 9.8/1000) and by 34.0% for the 13-18 years of age group (11.4/1000 to 15.3/1000). Moreover, majority of the CT scans were limited to the head (39.1%), followed by the extremities (32.5%) and the abdomen (13.7%). Notably, the number of extremity CT scans increased by 83.6% (2.3/1000 to 4.2/1000), and its proportion as compared to other scans increased from 25.3% to 37.7%. Conclusion CT scans in the pediatric population increased continuously from 2012 to 2017 at an annual rate of 4.4%. Therefore, physicians should balance the benefits of CT with its potential harms from associated radiation exposure in pediatric patients.

• Korean Circulation Journal
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• v.54 no.5
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• pp.256-267
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• 2024

Background and Objectives: Accumulating evidence shows that sodium-glucose cotransporter 2 inhibitors (SGLT2is) reduce adverse cardiovascular outcomes. However, whether SGLT2i, compared with other antidiabetic drugs, reduce the new development of atrial fibrillation (AF) is unclear. In this study, we compared SGLT2i with dipeptidyl peptidase-4 inhibitors (DPP-4is) in terms of reduction in the risk of AF in individuals with type 2 diabetes. Methods: We included 42,786 propensity score-matched pairs of SGLT2i and DPP-4i users without previous AF diagnosis using the Korean National Health Insurance Service database between May 1, 2016, and December 31, 2018. Results: During a median follow-up of 1.3 years, SGLT2i users had a lower incidence of AF than DPP-4i users (1.95 vs. 2.65 per 1,000 person-years; hazard ratio [HR], 0.73; 95% confidence interval [CI], 0.55-0.97; p=0.028]). In individuals without heart failure, SGLT2i users was associated with a decreased risk of AF incidence (HR, 0.70; 95% CI, 0.52-0.94; p=0.019) compared to DPP-4i users. However, individuals with heart failure, SGLT2i users was not significantly associated with a change in risk (HR, 1.04; 95% CI, 0.44-2.44; p=0.936). Conclusions: In this nationwide cohort study of individuals with type 2 diabetes, treatment with SGLT2i was associated with a lower risk of AF compared with treatment with DPP-4i.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.23-37
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• 2024

Digital twin is an M&S (Modeling and Simulation) technology designed to solve or optimize problems in the real world by replicating physical objects in the real world as virtual objects in the digital world and predicting phenomena that may occur in the future through simulation. Digital twins have been elaborately designed and utilized based on data collected to achieve specific purposes in large-scale environments such as cities and industrial facilities. In order to apply this digital twin technology to real life and expand it into user-customized service technology, practical but sensitive issues such as personal information protection and personalization of simulations must be resolved. To solve this problem, this paper proposes a federated learning-based accelerated client training method (FACTS) for personalized digital twins. The basic approach is to use a cluster-driven federated learning training procedure to protect personal information while simultaneously selecting a training model similar to the user and training it adaptively. As a result of experiments under various statistically heterogeneous conditions, FACTS was found to be superior to the existing FL method in terms of training speed and resource efficiency.

• Korean Circulation Journal
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• v.54 no.9
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• pp.534-544
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• 2024

Background and Objectives: Lipid lowering therapy is essential to reduce the risk of major cardiovascular events; however, limited evidence exists regarding the use of statin with ezetimibe as primary prevention strategy for middle-aged adults. We aimed to investigate the impact of single pill combination therapy on clinical outcomes in relatively healthy middle-aged patients when compared with statin monotherapy. Methods: Using the Korean National Health Insurance Service database, a propensity score match analysis was performed for baseline characteristics of 92,156 patients categorized into combination therapy (n=46,078) and statin monotherapy (n=46,078) groups. Primary outcome was composite outcomes, including death, coronary artery disease, and ischemic stroke. And secondary outcome was all-cause death. The mean follow-up duration was 2.9±0.3 years. Results: The 3-year composite outcomes of all-cause death, coronary artery disease, and ischemic stroke demonstrated no significant difference between the 2 groups (10.3% vs. 10.1%; hazard ratio [HR], 1.022; 95% confidence interval [CI], 0.980-1.064; p=0.309). Meanwhile, the 3-year all-cause death rate was lower in the combination therapy group than in the statin monotherapy group (0.2% vs. 0.4%; p<0.001), with a significant HR of 0.595 (95% CI, 0.460-0.769; p<0.001). Single pill combination therapy exhibited consistently lower mortality rates across various subgroups. Conclusions: Compared to the statin monotherapy, the combination therapy for primary prevention showed no difference in composite outcomes but may reduce mortality risk in relatively healthy middle-aged patients. However, since the study was observational, further randomized clinical trials are needed to confirm these findings.

• The Korean journal of internal medicine
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• v.39 no.2
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• pp.295-305
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• 2024

Background/Aims: The prognosis of patients with idiopathic pulmonary fibrosis (IPF) and respiratory failure requiring mechanical ventilation is poor. Therefore, mechanical ventilation is not recommended. Recently, outcomes of mechanical ventilation, including those for patients with IPF, have improved. The aim of this study was to investigate changes in the use of mechanical ventilation in patients with IPF and their outcomes over time. Methods: This retrospective, observational cohort study used data from the National Health Insurance Service database. Patients diagnosed with IPF between January 2011 and December 2019 who were placed on mechanical ventilation were included. We analyzed changes in the use of mechanical ventilation in patients with IPF and their mortality using the Cochran-Armitage trend test. Results: Between 2011 and 2019, 1,227 patients with IPF were placed on mechanical ventilation. The annual number of patients with IPF with and without mechanical ventilation increased over time. However, the ratio was relatively stable at approximately 3.5%. The overall hospital mortality rate was 69.4%. There was no improvement in annual hospital mortality rate. The overall 30-day mortality rate was 68.7%, which did not change significantly. The overall 90-day mortality rate was 85.3%. The annual 90-day mortality rate was decreased from 90.9% in 2011 to 83.1% in 2019 (p = 0.028). Conclusions: Despite improvements in intensive care and ventilator management, the prognosis of patients with IPF receiving mechanical ventilation has not improved significantly.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

• Journal of Hospice and Palliative Care
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• v.3 no.2
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• pp.126-135
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• 2000

Purpose : To evaluate the present status of bereavement care in Korean hospice service as a basic database for the effective bereavement care. Method : The data were collected two sets from September to October, 1999 and from November to December, 2000, 55 hospice institutions identified by the Hospice Education Institution, College of Nursing, Catholic University were contacted for a telephone survey. The researchers conducted telephone interviews with hospice administrators for 10 to 30 minutes. Result : 1) Among the 55 Korean Hospice institutions, 38 institutions(69.1%) provided bereavement services. 2) The contents of bereavement services consisted of telephone call 28 institutions(74.5%), bereaved family meeting 26 institutions(69.4%), home visiting 22 institutions(57.9%), mail 16 institutions(42.1%), personal counselling 7 institutions(18.4%). 3) The 26 hospice institutions(68.4%) which provided meetings for bereaved families met with the following frequency : Annually is 11 institutions(42.3%), biannually 6 institutions(23.1%), monthly 6 institutions(23.1%) and bimonthly 3 institutions(11.5%). 4) Only 4 hospice institutions(10.5%) used the assessment tool to screen for high risk of bereaved. 5) The major difficulties of current bereavement services were low attendance for the bereaved family meeting, shortage of professional managers and volunteers, limited accessibility to hospice institutions, little social awareness for the bereaved, and financial difficulties. 6) The hospice administrators expressed the need for the development of bereavement program, the education program for the bereavement services, trained professionals, the sufficient provision of human resource and financial support for more effective bereavement services. Conclusion : Although many hospice institutions(69.1%) provided bereavement services, they generally lacked capable bereavement professionals and various individualized bereavement services. In conclusion, it is required to develop the specified bereavement program and the training program for the staff and volunteers, so as to provide customized bereavement services based on individual needs. Further research will be necessary to evaluate the effects of customized bereavement services in Korea before applying to practice.

• Journal of Korea Spatial Information System Society
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• v.6 no.1 s.11
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• pp.73-85
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• 2004

Recently, as the growth of the wireless Internet, PDA and HPC, the focus of research and development related with GIS(Geographic Information System) has been changed to the Real-Time Mobile GIS to service LBS. To offer LBS efficiently, there must be the Real-Time GIS platform that can deal with dynamic status of moving objects and a location index which can deal with the characteristics of location data. Location data can use the same data type(e.g., point) of GIS, but the management of location data is very different. Therefore, in this paper, we studied the Real-Time Mobile GIS using the HBR-tree to manage mass of location data efficiently. The Real-Time Mobile GIS which is developed in this paper consists of the HBR-tree and the Real-Time GIS Platform HBR-tree. we proposed in this paper, is a combined index type of the R-tree and the spatial hash Although location data are updated frequently, update operations are done within the same hash table in the HBR-tree, so it costs less than other tree-based indexes Since the HBR-tree uses the same search mechanism of the R-tree, it is possible to search location data quickly. The Real-Time GIS platform consists of a Real-Time GIS engine that is extended from a main memory database system. a middleware which can transfer spatial, aspatial data to clients and receive location data from clients, and a mobile client which operates on the mobile devices. Especially, this paper described the performance evaluation conducted with practical tests if the HBR-tree and the Real-Time GIS engine respectively.