• Title/Summary/Keyword: post 2020

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The Effects of the SNS Gratitude Diary Program during the COVID-19 Period on the Grateful Disposition, Job Satisfaction and Life Satisfaction of Medical Institution Workers (코로나19(COVID-19)시기에 SNS 감사일기프로그램이 의료기관 종사자의 감사성향, 직무만족과 삶의 만족에 미치는 효과)

  • Oh, Ji-Sun;Kim, Ja-Sook;Park, Soon-myeong;Kim, Ja-Ok
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.168-176
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    • 2022
  • Purpose: This study was done to examine the effects of the SNS Gratitude Diary Program during the COVID-19 period on grateful disposition, job satisfaction and life satisfaction of medical institution workers. Methods: The study was a nonequivalent control group pre-post test design. The participants were 58 medical institution workers of which 28 were assigned to the experimental group and 30 to the control group. Data were collected from June 3 to August 10, 2020 and analyzed using SPSS Win 18.0 version program. The intervention was conducted 5 times a week for 8 weeks. Results: There were significant differences in reported grateful disposition between the two groups. However, the issue of job satisfaction and life satisfaction were not significant. Conclusion: The SNS Gratitude Diary Program using SNS during the COVID-19 period can be utilized as an effective intervention for grateful disposition. It will be a good solution to lead successful psychological health management.

Analysis of Twitter Post with 'Self-Iinjury' and 'Ssuicide' Using Text Mining (텍스트 마이닝기법을 활용한 '자해' 및 '자살' 관련 트위터 게시물 분석)

  • Yuri Lee;Hoin Kwon
    • Korean Journal of Culture and Social Issue
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    • v.29 no.1
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    • pp.147-170
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    • 2023
  • This study explored keywords and key topics by collecting posts related to 'self-Iinjury' and 'suicide' through Twitter. The study subjects were selected as posts containing related hashtags related to self-injury and suicide from October 29, 2019 to November 30, 2020. Text mining based on collected posts resulted in a total of 11 key topics: -6 related to 'self-Iinjury' and 5 related to 'suicide'. The main message in the topic is as follows. First, looking at the main messages contained in the topic, they honestly expressed self-harm and suicide experiences that are difficult to express offline online, and used SNS as a channelpath for requesting help requests. Second, there were common and discriminatory characteristics in posts related to 'self-Iinjury' and 'suicide'. Although topics related to 'self-Iinjury' mainly revealed emotional control and interpersonal functions of self-harm, messages related to 'suicide' showed more clearly messages about suicide prevention addressing and social problems. These results are meaningful in that they can understand the opinions of people who have experienced self-harm and suicide accidents and the public voice on self-harm and suicide-related issues could be better understood, and that this study seeks for effective self-harm and suicide prevention and intervention measures for self-harm and suicide issues.

Analyses of Expert Group on the 4th Industrial Revolution: The Perspective of Product Lifecycle Management (4차 산업혁명에 관한 전문가그룹 분석: 제품수명주기관리의 관점에서)

  • Wongeun Oh;Injai Kim
    • Journal of Service Research and Studies
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    • v.10 no.4
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    • pp.89-100
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    • 2020
  • The smart factory is an important axis of the 4th industrial revolution. Smart factory is a system that induces the maximum efficiency and effectiveness of production using the IoT and intelligent sensing systems. The product lifecycle management technique is a method that can actively reflect the consumer's requirements in the smart factory and manage the entire process from the consumer to the post management. There have been many studies on product lifecycle management, but studies on how to organize product lifecycle management knowledge domains in preparation for the era of the 4th industrial revolution were insufficient. This study analyzed the opinions of a group of experts preparing for the 4th industrial revolution in terms of product lifecycle management. The impact of the 4th industrial revolution on the detailed knowledge areas of product lifecycle management was investigated. The changes in product lifecycle management were summarized using a qualitative data analysis technique for a group of experts. Based on the opinions of experts, the product lifecycle management, which consists of a total of 30 detailed knowledge areas, was prepared to supplement or prepare for the 4th industrial revolution. This study investigates changes in product lifecycle management in preparation for the 4th industrial revolution in the knowledge domain of the existing defined product life cycle management. In future research, it is necessary to redefine the knowledge domain of product life cycle management suitable for the era of the 4th industrial revolution and investigate the perception of experts. Considering the social culture and technological change factors of the 4th industrial revolution, the scope and scope of product life cycle management can be newly defined.

The Effects of Online Coaching Program on Improving Eating Habit Behaviors (식습관 개선을 위한 온라인 코칭프로그램의 개발 및 효과성 검증)

  • Kim, Hye Young;Goh, Seung-Suk;Yang, Soon Jeong;Yoon, Bang Woo;Tak, Jinkook
    • The Korean Journal of Coaching Psychology
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    • v.5 no.1
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    • pp.1-32
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    • 2021
  • The purpose of this study was to investigate the effects of the online coaching program on improving eating habit behaviors. The online coaching program was based on the model of habit behaviors change process(Tak et al., 2019) and the success factors on improving eating habit behaviors(Choi et al., 2020), and previous research showing the effects of habit change. Participants were 20 adults, selected through telephone interviews over the age of 19 in the metropolitan area. They were divided into the experiment and control groups, and participated one-on-one coaching program. Data of 17 people were used for the final analysis, and weight, dietary habits, eating behaviors, dietary self-efficacy, self-regulation, and life satisfaction were measured at two times(pre and post). Results showed that there were significant interaction effects between time interval and groups for all the dependent variables except self-regulation and life satisfaction. In other words, there were significant changes in weight, dietary habits, eating behaviors, dietary self-efficacy in the experimental group between time interval, whereas there were no significant changes for the control group. Based on these results, the significance and practical implications, limitations of this research, and suggestions for further research were discussed.

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Electoral Competition in the Constituency and Strategic Split-ticket Voting Behavior of Supporters of Minor Parties Focusing on the 21st Korean General Election (지역구 선거 경쟁도와 군소정당 지지자의 전략적 분할투표: 제21대 국회의원 선거를 중심으로)

  • Kim, Hanna
    • Korean Journal of Legislative Studies
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    • v.26 no.2
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    • pp.35-71
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    • 2020
  • The purpose of this study is to verify the effect of electoral competition on voters deciding on strategic split-ticket voting under the mixed-member electoral system. As result, the more competitive the constituencies are, the more voters choose to vote for the major parties. The results of logistic regression analysis including interaction terms showed that the more competitive the constituencies are, the more voters choose for candidates from the major parties. Also, the finding shows that major party supporters are less affected by electoral competition than minor party supporters in choosing a candidate in the single-seat districts. In the case of minor party supporters, the more competitive the constituencies were, the more likely they were to choose the major party candidate instead of the minor party candidate. Based on these results, it can be inferred that voters are affected by the presence or behavior of other voters in local constituencies under the first-past-the-post rule. Because of the psychology of not wanting their votes to be useless, voters cast their ballots more strategically as the competition in constituencies intensifies, and as the competition in constituencies slackens, such tendencies weaken, and this trait is particularly evident among minor party supporters.

Marine Heat Waves Detection in Northeast Asia Using COMS/MI and GK-2A/AMI Sea Surface Temperature Data (2012-2021) (천리안위성 해수면온도 자료 기반 동북아시아 해수고온탐지(2012-2021))

  • Jongho Woo;Daeseong Jung;Suyoung Sim;Nayeon Kim;Sungwoo Park;Eun-Ha Sohn;Mee-Ja Kim;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1477-1482
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    • 2023
  • This study examines marine heat wave (MHW) in the Northeast Asia region from 2012 to 2021, utilizing geostationary satellite Communication, Ocean, and Meteorological Satellite (COMS)/Meteorological Imager sensor (MI) and GEO-KOMPSAT-2A (GK-2A)/Advanced Meteorological Imager sensor (AMI) Sea Surface Temperature (SST) data. Our analysis has identified an increasing trend in the frequency and intensity of MHW events, especially post-2018, with the year 2020 marked by significantly prolonged and intense events. The statistical validation using Optimal Interpolation (OI) SST data and satellite SST data through T-test assessment confirmed a significant rise in sea surface temperatures, suggesting that these changes are a direct consequence of climate change, rather than random variations. The findings revealed in this study serve the necessity for ongoing monitoring and more granular analysis to inform long-term responses to climate change. As the region is characterized by complex topography and diverse climatic conditions, the insights provided by this research are critical for understanding the localized impacts of global climate dynamics.

Spatial Analysis of Carbon Storage in Satellite Radar Imagery Utilizing Sentinel-1: A Case Study of the Ungok Wetlands (위성 레이더 영상 중 Sentinel-1을 활용한 탄소 흡수원 공간분석 - 운곡습지를 대상으로 -)

  • Ha-Eun Yu;Young-Il Cho;Shin-Woo Lee;Moung-Jin Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.6_3
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    • pp.1731-1745
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    • 2023
  • Within the framework of the post-2020 climate regime, the Paris Agreement's emphasis on Nationally Determined Contributions and Biennial Transparency Reporting is paramount in addressing its long-term temperature goal. A salient issue is the treatment of wetland ecosystems within the context of Land Use, Land-Use Change, and Forestry, as defined by the Intergovernmental Panel on Climate Change. In the 2019 National Inventory Report, wetlands were recategorized as emission sources due to their designation as inundated areas. This study employs C-band radar imagery to discriminate between inundated and non-inundated regions of wetlands, enabling the quantification of their spatial dynamics. The research capitalizes on 24-period Sentinel-1 satellite data to cover both the inundation and desiccation phases while centering its attention on Ungok Wetland, a Ramsar-designated inland wetland conservation area in Korea. The inundated area is quantitatively assessed through the integration of multi-temporal Sentinel-1 Single-Look Complex (SLC) data, aerial orthophotography, and inland wetland spatial information. Furthermore, the study scrutinizes fluctuations in the maximum and minimum inundated areas, with substantial changes corroborated via drone aerial reconnaissance. The outcomes of this investigation hold the potential to make substantive contributions to the refinement of national greenhouse gas absorption and emission factors, thereby informing the development of comprehensive greenhouse gas inventories. These efforts align directly with the overarching objectives of the Paris Agreement.

Mapping Topography Change via Multi-Temporal Sentinel-1 Pixel-Frequency Approach on Incheon River Estuary Wetland, Gochang, Korea (다중시기 Sentinel-1 픽셀-빈도 기법을 통한 고창 인천강 하구 습지의 지형 변화 매핑)

  • Won-Kyung Baek;Moung-Jin Lee;Ha-Eun Yu;Jeong-Cheol Kim;Joo-Hyung Ryu
    • Korean Journal of Remote Sensing
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    • v.39 no.6_3
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    • pp.1747-1761
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    • 2023
  • Wetlands, defined as lands periodically inundated or exposed during the year, are crucial for sustaining biodiversity and filtering environmental pollutants. The importance of mapping and monitoring their topographical changes is therefore paramount. This study focuses on the topographical variations at the Incheon River estuary wetland post-restoration, noting a lack of adequate prior measurements. Using a multi-temporal Sentinel-1 dataset from October 2014 to March 2023, we mapped long-term variations in water bodies and detected topographical change anomalies using a pixel-frequency approach. Our analysis, based on 196 Sentinel-1 acquisitions from an ascending orbit, revealed significant topography changes. Since 2020, employing the pixel-frequency technique, we observed area increases of +0.0195, 0.0016, 0.0075, and 0.0163 km2 in water level sections at depths of 2-3 m, 1-2 m, 0-1 m, and less than 0 m, respectively. These findings underscore the effectiveness of the wetland restoration efforts in the area.

Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images

  • Yura Ahn;Jee Seok Yoon;Seung Soo Lee;Heung-Il Suk;Jung Hee Son;Yu Sub Sung;Yedaun Lee;Bo-Kyeong Kang;Ho Sung Kim
    • Korean Journal of Radiology
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    • v.21 no.8
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    • pp.987-997
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    • 2020
  • Objective: Measurement of the liver and spleen volumes has clinical implications. Although computed tomography (CT) volumetry is considered to be the most reliable noninvasive method for liver and spleen volume measurement, it has limited application in clinical practice due to its time-consuming segmentation process. We aimed to develop and validate a deep learning algorithm (DLA) for fully automated liver and spleen segmentation using portal venous phase CT images in various liver conditions. Materials and Methods: A DLA for liver and spleen segmentation was trained using a development dataset of portal venous CT images from 813 patients. Performance of the DLA was evaluated in two separate test datasets: dataset-1 which included 150 CT examinations in patients with various liver conditions (i.e., healthy liver, fatty liver, chronic liver disease, cirrhosis, and post-hepatectomy) and dataset-2 which included 50 pairs of CT examinations performed at ours and other institutions. The performance of the DLA was evaluated using the dice similarity score (DSS) for segmentation and Bland-Altman 95% limits of agreement (LOA) for measurement of the volumetric indices, which was compared with that of ground truth manual segmentation. Results: In test dataset-1, the DLA achieved a mean DSS of 0.973 and 0.974 for liver and spleen segmentation, respectively, with no significant difference in DSS across different liver conditions (p = 0.60 and 0.26 for the liver and spleen, respectively). For the measurement of volumetric indices, the Bland-Altman 95% LOA was -0.17 ± 3.07% for liver volume and -0.56 ± 3.78% for spleen volume. In test dataset-2, DLA performance using CT images obtained at outside institutions and our institution was comparable for liver (DSS, 0.982 vs. 0.983; p = 0.28) and spleen (DSS, 0.969 vs. 0.968; p = 0.41) segmentation. Conclusion: The DLA enabled highly accurate segmentation and volume measurement of the liver and spleen using portal venous phase CT images of patients with various liver conditions.

Contrast-Enhanced High-Resolution Intracranial Vessel Wall MRI with Compressed Sensing: Comparison with Conventional T1 Volumetric Isotropic Turbo Spin Echo Acquisition Sequence

  • Chae Jung Park;Jihoon Cha;Sung Soo Ahn;Hyun Seok Choi;Young Dae Kim;Hyo Suk Nam;Ji Hoe Heo;Seung-Koo Lee
    • Korean Journal of Radiology
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    • v.21 no.12
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    • pp.1334-1344
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    • 2020
  • Objective: Compressed sensing (CS) has gained wide interest since it accelerates MRI acquisition. We aimed to compare the 3D post-contrast T1-weighted volumetric isotropic turbo spin echo acquisition (VISTA) with CS (VISTA-CS) and without CS (VISTA-nonCS) in intracranial vessel wall MRIs (VW-MRI). Materials and Methods: From April 2017 to July 2018, 72 patients who underwent VW-MRI, including both VISTA-CS and VISTA-nonCS, were retrospectively enrolled. Wall and lumen volumes, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured from normal and lesion sites. Two neuroradiologists independently evaluated overall image quality and degree of normal and lesion wall delineation with a four-point scale (scores ≥ 3 defined as acceptable). Results: Scan coverage was increased in VISTA-CS to cover both anterior and posterior circulations with a slightly shorter scan time compared to VISTA-nonCS (approximately 7 minutes vs. 8 minutes). Wall and lumen volumes were not significantly different with VISTA-CS or VISTA-nonCS (interclass correlation coefficient = 0.964-0.997). SNR was or trended towards significantly higher values in VISTA-CS than in VISTA-nonCS. At normal sites, CNR was not significantly different between two sequences (p = 0.907), whereas VISTA-CS provided lower CNR in lesion sites compared with VISTA-nonCS (p = 0.003). Subjective wall delineation was superior with VISTA-nonCS than with VISTA-CS (p = 0.019), although overall image quality did not differ (p = 0.297). The proportions of images with acceptable quality were not significantly different between VISTA-CS (83.3-97.8%) and VISTA-nonCS (75-100%). Conclusion: CS may be useful for intracranial VW-MRI as it allows for larger scan coverage with slightly shorter scan time without compromising image quality.