• Title/Summary/Keyword: Seong-Ho School

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Analysis of Landslide Characteristics in Jeonlabuk-do, Korea (전라북도 지역의 산사태발생 특성분석)

  • Park, Chong-Min;Ma, Ho-Seop;Kang, Won-Seok;Oh, Kyeong-Won;Park, Seong-Hak;Lee, Sung-Jae
    • Journal of agriculture & life science
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    • v.44 no.4
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    • pp.9-20
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    • 2010
  • This study was carried out to analyze the landslide characteristics and forest environment factors on the landslide area of Jeonlabuk-do province in korea. The results obtained from this study were summarized as follows; The total number of landslide occurrence was 182 areas. The average area of landslide scar was $1,859m^2$, average length of the landslides was 139m, average width was 13m. The landslides were highly occurred in igneous rock and coniferous. And also, slope gradient was $21{\sim}30^{\circ}$, aspect was NE, altitude was 401~500m, vertical and cross slope was concave (凹),stream order was 1 order, soil depth was 15m below, landslide type was linear, forest type was artificial. The relationship between landslide area and environmental factors was a positive correlation with cross slope (convex), position (upper), altitude (501m), forest type (coniferous), parent rock (sedimentary rock), D.B.H. (over 17cm), but was negative correlation with slope gradient ($31{\sim}40^{\circ}$), parent rock (igneous rock), D.B.H. (6~16cm).

The Relationship between Smoking, Alcohol Drinking and Vitamin D Level among Korean Adults : From the Korean National Health and Nutrition Examination Survey 2013-2014 (한국 성인에서 흡연 및 음주와 비타민 D 수준과의 관련성)

  • Lee, Yun-Kyung;Park, Jong;Ryu, So-Yeon;Choi, Seong-Woo;Shin, Jun-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.231-242
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    • 2019
  • The aim of this study was the relationship between smoking, alcohol drinking and vitamin D level among Korean adults using data from the '6th(2013-2014) Korean National Health and Nutrition Examination Survey'. The data used in this study were analyzed for 3,565 people who were over the age of 19 ages and checked vitamin D level and consumption frequencies of vitamin D rich foods among 15,568 respondents to the '6th(2013-2014) Korean National Health and Nutrition Examination Survey'. The subjects were divided into four groups: None group(non-smoking and non-alcohol drinking), smoking only group, alcohol drinking only group and both group (smoking and alcohol drinking). The mean serum vitamin D level of the subjects was $16.5{\pm}0.20ng/mL$ and 73.5% of vitamin D levels were insufficient and deficiency. The results from hierarchical multiple logistic regression showed that the Odds ratio for insufficient vitamin D due to smoking and alcohol drinking were significantly higher in the smoking only group 2.281(95% CI 1.080-4.817)times and both group 1.356(95% CI 1.010-1.922)times than none group. Our results showed the relationship between smoking, alcohol drinking and vitamin D level was significant in Korean adults. Future studies, such as a more systematic cohort study investigating the relationship between smoking, alcohol drinking and vitamin D level may be helpful in confirming the causal relationship between smoking, alcohol drinking and vitamin D level.

A Study on Status and Perception of Class Operation by Elementary School Science Specialized Teachers in COVID-19 Situation (COVID-19 상황에서 초등 과학 전담 교사의 수업 운영 실태 및 인식)

  • Kim, Seong-Un;Yang, Il-ho;Lim, Sung-man
    • Journal of the Korean Society of Earth Science Education
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    • v.13 no.3
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    • pp.317-329
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    • 2020
  • The purpose of this study is to investigate how elementary science specialized teachers operate and how they have a perception of the science class in the COVID-19 situation. The number of participants in the study is 21 who are dedicated to science subjects in 2020. 21 teachers were given an open survey of science classes and future directions in the COVID-19 situation, and 8 out of 21 teachers were interviewed in-depth on how and why they did so. As a result of the study, first, the science classes before and after COVID-19 of primary science teachers were different. Under the COVID-19 situation, teachers identified the characteristics of online and offline classes and operated them in a way that was specific to their characteristics. Second, there was a common perception of teachers' classes on the basis of this science class operation style, which is that science classes should be operated as activities, that I would like to have classes that suit my taste as long as the policy allows, and that online classes cause students to lose motivation and widen their educational gap.

A study on metaverse construction and use cases for non-face-to-face education (비대면 교육을 위한 메타버스 구축 및 활용 사례에 대한연구)

  • Kim, Joon Ho;Lee, Byoung Sung;Choi, Seong Jhin
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.483-497
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    • 2022
  • Recently, due to COVID-19, non-face-to-face online lectures are being held all over the world. In higher education in the post-corona era, distance learning has become the main teaching and learning method. At this time, Metaverse is being proposed as a new alternative. Metaverse has basic elements such as avatars, 3D space, and activities accompanied by interaction, which can be seen as a difference compared to existing VR (Virtual Reality) contents. This study designed and built an educational metaverse platform that can be applied to actual lectures by reflecting the three elements of the metaverse.In addition, we implemented a cross-device-platform that supports various devices such as HMDs, smartphones, tablets, and PCs by reflecting user requirements through usability tests such as middle school, high school, college students, and parents, so that anyone can easily participate in Metaverse lectures. Currently, the metaverse platform is being developed and serviced in various ways, but there are hardly any services designed for education. Just as services such as Zoom, the existing video conferencing solution, were used for non-face-to-face education, some functions of the currently serviced metaverse are utilized for education and used in the form of a one-time event. The educational metaverse platform developed through this study is expected to be a reference in constructing the metaverse for education in the future.

Exploring Effects of a Visual Material Driven by Earth-Based Perspectives on the Spatial Representation of 5th Graders (지구 기반 관점의 시각 자료가 초등학교 5학년 학생들의 공간 표상에 미치는 영향 탐색)

  • Hyoung-Jin Kim;Seong-Hwan Jeong;Myeong-Kyeong Shin;Nan-Joo Kwon;Gyu-ho Lee
    • Journal of Science Education
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    • v.46 no.2
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    • pp.151-164
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    • 2022
  • The 2015 revised science curriculum textbook of 6th graders describes 'day and night' as an astronomical phenomenon observed on a daily basis. Textbooks use only visual materials from a space-based perspective to explain the causes of day and night. This study aims to investigate what changes in spatial representations of 5th graders when additional visual materials of the Earth-based perspective were presented to them. It also shows that the Space and the Earth-based perspectives appear to be interconnected. The following are found in this study. First, when students were presented with a visual material of an Earth-based perspective, their spatial representations of both the Earth and the Space-based perspectives changed. Second, the visual material of an Earth-based perspective confirmed the possibility that students' spatial representation types could be different in many ways. Third, the effect on the spatial representation of each perspective is different depending on gender and the level of spatial representation.

A Simulation of a Small Mountainous Chachment in Gyeoungbuk Using the RAMMS Model (RAMMS 모형을 이용한 경북 소규모 산지 유역의 토석류 모의)

  • Hyung-Joon Chang;Ho-Jin Lee;Seong-Goo Kim
    • Journal of Korean Society of Disaster and Security
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    • v.17 no.1
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    • pp.1-8
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    • 2024
  • In Korea, mountainous areas cover 60% of the land, leading to increased factors such as concentrated heavy rainfall and typhoons, which can result in debris flow and landslide. Despite the high risk of disasters like landslides and debris flow, there has been a tendency in most regions to focus more on post-damage recovery rather than preventing damage. Therefore, in this study, precise topographic data was constructed by conducting on-site surveys and drone measurements in areas where debris flow actually occurred, to analyze the risk zones for such events. The numerical analysis program RAMMS model was utilized to perform debris flow analysis on the areas prone to debris flow, and the actual distribution of debris flow was compared and analyzed to evaluate the applicability of the model. As a result, the debris flow generation area calculated by the RAMMS model was found to be 18% larger than the actual area, and the travel distance was estimated to be 10% smaller. However, the simulated shape of debris flow generation and the path of movement calculated by the model closely resembled the actual data. In the future, we aim to conduct additional research, including model verification suitable for domestic conditions and the selection of areas for damage prediction through debris flow analysis in unmeasured watersheds.

Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels

  • Pyeong Hwa Kim;Hee Mang Yoon;Jeong Rye Kim;Jae-Yeon Hwang;Jin-Ho Choi;Jisun Hwang;Jaewon Lee;Jinkyeong Sung;Kyu-Hwan Jung;Byeonguk Bae;Ah Young Jung;Young Ah Cho;Woo Hyun Shim;Boram Bak;Jin Seong Lee
    • Korean Journal of Radiology
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    • v.24 no.11
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    • pp.1151-1163
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    • 2023
  • Objective: To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model. Materials and Methods: A convolutional neural network was trained to predict age according to the bone development shown on a hand radiograph (bone age) using 21036 hand radiographs of Korean children and adolescents without known bone development-affecting diseases/conditions obtained between 1998 and 2019 (median age [interquartile range {IQR}], 9 [7-12] years; male:female, 11794:9242) and their chronological ages as labels (Korean model). We constructed 2 separate external datasets consisting of Korean children and adolescents with healthy bone development (Institution 1: n = 343; median age [IQR], 10 [4-15] years; male: female, 183:160; Institution 2: n = 321; median age [IQR], 9 [5-14] years; male: female, 164:157) to test the model performance. The mean absolute error (MAE), root mean square error (RMSE), and proportions of bone age predictions within 6, 12, 18, and 24 months of the reference age (chronological age) were compared between the Korean model and a commercial model (VUNO Med-BoneAge version 1.1; VUNO) trained with Greulich-Pyle-based age as the label (GP-based model). Results: Compared with the GP-based model, the Korean model showed a lower RMSE (11.2 vs. 13.8 months; P = 0.004) and MAE (8.2 vs. 10.5 months; P = 0.002), a higher proportion of bone age predictions within 18 months of chronological age (88.3% vs. 82.2%; P = 0.031) for Institution 1, and a lower MAE (9.5 vs. 11.0 months; P = 0.022) and higher proportion of bone age predictions within 6 months (44.5% vs. 36.4%; P = 0.044) for Institution 2. Conclusion: The Korean model trained using the chronological ages of Korean children and adolescents without known bone development-affecting diseases/conditions as labels performed better in bone age assessment than the GP-based model in the Korean pediatric population. Further validation is required to confirm its accuracy.

Prevalence, natural progression, and clinical practices of upper gastrointestinal subepithelial lesions in Korea: a multicenter study

  • Younghee Choe;Yu Kyung Cho;Gwang Ha Kim;Jun-Ho Choi;Eun Soo Kim;Ji Hyun Kim;Eun Kwang Choi;Tae Hyeon Kim;Seong-Hun Kim;Do Hoon Kim
    • Clinical Endoscopy
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    • v.56 no.6
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    • pp.744-753
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    • 2023
  • Background/Aims: This study aimed to evaluate the prevalence and natural progression of subepithelial lesions (SELs) in the upper gastrointestinal (UGI) tract. Methods: The medical records of patients with UGI SELs who underwent endoscopic screening at eight university hospitals between January and December 2010 were retrospectively investigated. The follow-up evaluations were performed until December 2016. Results: UGI SELs were found in 1,044 of the 65,233 participants screened (endoscopic prevalence, 1.60%; the total number of lesions, 1,062; mean age, 55.1±11.2 years; men, 53.6%). The median follow-up period was 48 (range, 8-74) months. SELs were most frequently found in the stomach (63.8%) and had a mean size of 9.9±6.1 mm. Endoscopic ultrasonography (EUS) was performed in 293 patients (28.1%). The most common lesions were leiomyomas, followed by gastrointestinal stromal tumors (GISTs), and ectopic pancreas. The proportions of SELs with malignant potential according to size were 3% (<1 cm), 22% (1-2 cm), 27% (2-3 cm), and 38% (≥3 cm). In gastric SELs larger than 1 cm, resections were performed in 20 patients because of an increase in size, of which 12 were found to be GISTs. Conclusions: The prevalence of UGI SELs was 1.60%. Further, 23% of gastric SELs ≥1 cm were precancerous lesions, most followed by EUS and clinical decisions without initial pathological confirmation.

Cost-effective Machine Learning Method for Predicting Package Warpage during Mold Curing (몰드 경화 공정 중 패키지 휨 예측을 위한 비용 절감형 머신러닝 방법)

  • Seong-Hwan Park;Tae-Hyun Kim;Eun-Ho Lee
    • Journal of the Microelectronics and Packaging Society
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    • v.31 no.3
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    • pp.24-37
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    • 2024
  • Due to the thin nature of semiconductor packages, even minor thermal loads can cause significant warpage, impacting product reliability through issues like delamination or cracking. The mold curing process, which encloses the package to protect the semiconductor chip, is particularly challenging to predict due to the complex thermal, chemical, and mechanical interactions. This study proposes a cost-effective machine learning model to predict warpage in the mold curing process. We developed methods to characterize the curing degree based on time and temperature and quantify the material's mechanical properties accordingly. A Finite Element Method (FEM) simulation model was created by integrating these properties into ABAQUS UMAT to predict warpage for various design factors. Additionally, a Warpage formula was developed to estimate local warpage based on the package's stacking structure. This formula combines bending theory with thermo-chemical-mechanical properties and was validated through FEM simulation results. The study presents a method to construct a machine learning model for warpage prediction using this formula and proposes a cost-effective approach for building a training dataset by analyzing input variables and design factors. This methodology achieves over 98% prediction accuracy and reduces simulation time by 96.5%.

Preoperative Concurrent Radio-chemotherapy for Rectal Cancer: Report of Early Results (직장암에 대한 수술 전 동시병용 방사선-항암 화학요법: 초기 치료결과 보고)

  • Shin, Seong-Soo;Ahn, Yong-Chan;Chun, Ho-Kyung;Lee, Woo-Yong;Kang, Won-Ki;Park, Young-Suk;Park, Joon-Oh;Song, Sang-Yong;Lim-Do-Hoon;Park, Won;Lee, Jung, Eun;Kang, Min-Kyu;Park, Yung-Je
    • Radiation Oncology Journal
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    • v.21 no.2
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    • pp.125-134
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    • 2003
  • Purpose: To report the early results of preopeartive concurrent radio-chemotherapy (CRCT) for treating rectal cancer. Materials and Methods: From June 1999 to April 2002, 40 rectal cancer patients who either had lesions with a questionable resectability or were candidates for sphincter-sacrificing surgery received preoperative CRCT. Thirty-seven patients completed the planned CRCT course. 45 Gy by 1.8 Gy daily fraction over 5 weeks was delivered to the whole pelvis in the prone position. The chemotherapy regimens were oral UFT plus oral leucovorin (LV) in 12 patients, intravenous bolus 5-FU plus LV in 10 patients, and intravenous 5-FU alone in 15 patients (bolus infusion in 10, continuous infusion in 5). Surgery was planned in 4$\~$6 weeks of the completion of the preoperative CRCT course, and surgery was attempted in 35 patients. Results: The compliance to the current preoperative CRCT protocol was excellent, where 92.5$\%$ (37/40) completed the planned treatment. Among 35 patients, in whom surgery was attempted after excluding two patients with new metastatic lesions in the liver and the lung, sphincter-preservation was achieved in 22 patients (62.9$\%$), while resection was abandoned during laparotomy in two patients (5.7$\%$). Gross complete resection was peformed in 30 patients, gross incomplete resection was peformed in one patient, and no detailed information on the extent of surgery was available in two patients. Based on the surgical and pathological findings, the down-staging rate was 45.5$\%$ (15/33), and the complete resection rate with the negative resection margin 78.8$\%$ (26/33). During the CRCT course, grade 3 $\~$4 neutropenia developed in four patients (10.8$\%$). Local recurrence after surgical resection developed in 12.1$\%$ (4/33), and distant metastases after the preoperative CRCT start developed in 21.6$\%$ (8/37). The overall 3-years survival rate was 87$\%$. Conclusion: Preoperative CRCT in locally advanced rectal cancer is well tolerated and can lead to high resection rate, down-staging rate, sphincter preservation rate, however, longer term follow-up will be necessary to confirm these results.