• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.

• Journal of Environmental Health Sciences
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• v.47 no.1
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• pp.20-35
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• 2021

Objectives: Waste treatment by incineration is gradually increasing as the emission of harmful substances has decreased owing to developments in incineration technology. However, residents living near incinerators continue to express anxiety regarding the effects on their health. Therefore, we attempted to summarize the health impact of incinerators by comprehensively reviewing the recently reported literature. Methods: Sixty-two epidemiological research papers related to incineration and health effects were selected from the Google Scholar database and analyzed (from between January 2001 and December 2019). Results: When compared to older incinerators, newer incinerators established after 2000 are considered relatively safe in terms of health effects. Nevertheless, there have been some studies that have linked them to various diseases, such as malignant tumors including soft tissue cancer and non-Hodgkin's lymphoma, reproductive disorders, respiratory diseases, and more. In addition, incinerator workers and local residents are considered to be exposed to dioxins and some heavy metals from the incinerator. Since most studies included subjects exposed to older incinerators, it is difficult to apply these results to the health impact assessment of new incinerators. However, it is not appropriate to conclude that new incinerators made with state-of-the-art technology are safe, as chronic environmental diseases caused by hazardous substances tend to appear only after prolonged exposure. Conclusions: In terms of environmental health, it is necessary to continuously monitor the health effects of incinerators. Also, there is a need to develop a research methodology that can minimize various confounders in incineration-related epidemiological study.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.29-40
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• 2007

The purpose of this research is to propose a method for scoring the quality of a fingerprint image using the local information derived from the fingerprint image. In previous works for the quality measuring, most of the quality scores are related to the performance of a matching algorithm, and this makes the quality result more subjective. The quality score of a fingerprint image proposed in this work is sensor-independent, source-independent and matcher-independent one, and this concept of fingerprint sample quality results in effective improvement of the system performance. In this research, a new definition of fingerprint image quality and a new method for measuring the quality are proposed. For the experiments, several sub-databases from FVCs are used and the proposed method showed reasonable results for the test database. The proposed method can be used in various systems for the numerous purposes since the quality scores generated by the proposed method are based on the idea that the quality of fingerprint should be sensor-independent, source-independent and matcher-independent.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.3
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• pp.1-14
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• 2021

PURPOSE: This study aims to reveal the prevalence, therapeutic efficacy and undesirable side effects of cupping therapy all over the world from past to present. METHODS: This meta-analysis is based on the data obtained by scanning the keyword "cupping therapy" from the Pub-Med system, which is an international database. The date range has been set as 1950-2019. Local databases were not included. Cupping therapy studies combined with other complementary therapies such as acupuncture, moxa and hirudotherapy are also included in the meta-analysis. RESULTS: A total of 381 scientific studies were found on cupping therapy. Of these studies 127 wererandomized controlled trials (RCSs). Cupping treatment has been found effective in studies of painful conditions such as herpes zoster pain, fibromyalgia, back pain, neck pain, headache and acute injury pain. In addition, the effectiveness of cupping therapy was found to be high in studies related to bone / muscular system diseases such as osteoarthritis, rheumatoid arthritis, ankylosing spondylitis, gout, carpal tunnel syndrome, cervical spondylosis. In addition, cupping treatment is also promising in studies on skin diseases, neurological diseases, respiratory system diseases and cardiovascular system diseases. CONCLUSION: Recently, there has been an increase in the number of RCSs related to cupping therapy. The vast majority of this increase has been made in European and American countries rather than in Far Eastern countries. Studies on cupping therapy, which have been and will be carried out in the future, will provide evidence-based indication of whether cupping therapy is effective. and it will allow more patients to benefit from this treatment, which has a very low rate of side effects and complications.

• Archives of Plastic Surgery
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• v.49 no.3
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• pp.397-404
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• 2022

Background Excessive use of corticosteroids therapy along with gross immunocompromised conditions in the novel coronavirus disease 2019 (COVID-19) pandemic has raised the risks of contracting opportunistic fungal infections. Here, we describe our experience with the implementation of a surgical protocol to treat and reconstruct rhino-orbital-cerebral mucormycosis. Methods A retrospective review of our prospectively maintained database was conducted on consecutive patients diagnosed with mucormycosis undergoing immediate reconstruction utilizing our "Mucormycosis Management Protocol." All patients included in this study underwent reconstruction after recovering from COVID-19. Wide local excision was performed in all cases removing all suspected and edematous tissue. Reconstruction was done primarily after clear margins were achieved on clinical assessment under a cover of injectable liposomal amphotericin B. Results Fourteen patients were included. The average age was 43.6 years and follow-up was 24.3 days. Thirteen patients had been admitted for inpatient care of COVID-19. Steroid therapy was implemented for 2 weeks in 11 patients and for 3 weeks in 3 patients. Eight patients (57.1%) had a maxillectomy and mucosal lining resection with/without skin excision, and six patients (42.8%) underwent maxillectomy and wide tissue excision (maxillectomy and partial zygomatic resection, orbital exenteration, orbital floor resection, nose debridement, or skull base debridement). Anterolateral thigh (ALT) flaps were used to cover defects in all patients. All flaps survived. No major or minor complications occurred. No recurrence of mucormycosis was noted. Conclusion The approach presented in this study indicates that immediate reconstruction is safe and reliable in cases when appropriate tissue resection is accomplished. Further studies are required to verify the external validity of these findings.

• Health Policy and Management
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• v.32 no.2
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• pp.205-215
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• 2022

Background: The purpose of this study is to identify the factors infecting the medical care utilization from a new perspective by newly classifying the categories of administrative districts using the urban decline index and medical vulnerability index as indicators. Methods: This study targeted 150,940 people who used medical services using the 2015 cohort database (DB), 2010-2015 urban regeneration analysis index DB, and 2014-2015 public health and medical statistics DB. The decline of the region was classified using the urban decline index typed using k-means clustering and the medical vulnerability index typed using the quantile score calculation. Regression analysis was performed 3 times with medical expenditure, length of stay, and the number of outpatient visits as dependent variables. Results: There were 37 stable region (47.4%), 29 health vulnerable region (37.2%), and 12 decline region (15.4%). The health vulnerable region had lower medical expenditure, fewer outpatient visits, and a higher length of stay than the stable region. The decline region was all higher than the stable region but had no significant effect. Conclusion: The factors that cause the health disparity between regions are not only factors related to individual health behavior but also environmental factors of the local community. Therefore, there is a need for a systematic alternative that properly considers the resources within the community and reflects the characteristics of the population.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.25 no.5
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• pp.406-412
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• 2022

Purpose: The role of endoscopic retrograde cholangiopancreatography (ERCP) in the management of hepatobiliary and pancreatic diseases in the pediatric population was not well defined until recently. Our aim was to determine the feasibility, outcomes, and safety of ERCP in a local pediatric population, particularly using standard adult endoscopes and accessories. Methods: This retrospective study was conducted at the National Hospital of Sri Lanka. Pediatric patients (aged <16 years) who underwent ERCP from January 2015 to December 2020 were included in the study. Data, including patient demographics, indications for the procedure, technical details, and associated complications, were collected from the internal database and patient records maintained at the hospital. Results: The study included 62 patients who underwent a total of 98 ERCP procedures. All the procedures were performed by adult gastroenterologists using standard adult endoscopes and accessories. The mean age was 11.01±3.47 years. Pancreatic diseases were the major indications for most of the procedures (n=81, 82.7%), with chronic pancreatitis being the most common. Seventeen procedures (17.3%) were carried out for biliary diseases. Overall cannulation and technical success rates were 87.8% and 85.7%, respectively. Stent placement was the most common therapeutic intervention (n=66; 67.4%). Post-ERCP pancreatitis was the most common complication, occurring in eight patients (8.2%). Conclusion: ERCP can be successfully and safely performed in pediatric populations using standard adult endoscopes and accessories with complications similar to those of adults. Adult ERCP services can be offered to most pediatric patients without additional costs of pediatric endoscopes and accessories.

• Journal of Korean Academy of Nursing
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• v.53 no.4
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• pp.426-438
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• 2023

Purpose: Walking practice is a representative indicator of the level of physical activity of local residents. Although the world health organization addressed reduction in prevalence of insufficient physical activity as a global target, the rate of walking practice in Korea has not improved and there are large regional disparities. Therefore, this study aimed to explore the spatial variations of walking practice and its associated factors in Korea. Methods: A secondary analysis was conducted using Community Health Outcome and Health Determinants Database 1.3 from Korea Centers for Disease Control and Prevention. A total of 229 districts was included in the analysis. We compared the ordinary least squares (OLS) and the geographically weighted regression (GWR) to explore the associated factors of walking practice. MGWR 2.2.1 software was used to explore the spatial distribution of walking practice and modeling the GWR. Results: Walking practice had spatial variations across the country. The results showed that the GWR model had better accommodation of spatial autocorrelation than the OLS model. The GWR results indicated that different predictors of walking practice across regions of Korea. Conclusion: The findings of this study may provide insight to nursing researchers, health professionals, and policy makers in planning health programs to promote walking practices in their respective communities.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.112-114
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• 2022

This paper proposes an E-Commerce service that supports large quantities of food waste sales generated by collective residences, including apartments, to consumers in urban areas, such as livestock farmers, through online transactions. Unlike general E-Commerce, the proposed service uses a smart food waste bin equipped with an IoT-based sensor and communication module to automatically collect the location information of each apartment and the amount of food waste to be displayed in a specialized E-Commerce platform. The key of this system is to provide information and sell it to consumers. The smart food waste bin periodically delivers its current capacity and location using a weight sensor, GPS sensor and LoRa communication module to a cloud-based database to be used in web or mobile applications. The proposed E-Commerce service is expected to help resolve the food waste disposal problem and revitalize the local economy by linking with a service that delivers food waste from each apartment to a nearby location where the buyer is located.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.234-240
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• 2022

This paper proposes a customized AI exercise recommendation service for balancing the relative amount of exercise according to the working environment by each occupation. WISDM database is collected by using acceleration and gyro sensors, and is a dataset that classifies physical activities into 18 categories. Our system recommends a adaptive exercise using the analyzed activity type after classifying 18 physical activities into 3 physical activities types such as whole body, upper body and lower body. 1 Dimensional convolutional neural network is used for classifying a physical activity in this paper. Proposed model is composed of a convolution blocks in which 1D convolution layers with a various sized kernel are connected in parallel. Convolution blocks can extract a detailed local features of input pattern effectively that can be extracted from deep neural network models, as applying multi 1D convolution layers to input pattern. To evaluate performance of the proposed neural network model, as a result of comparing the previous recurrent neural network, our method showed a remarkable 98.4% accuracy.