• 동의신경정신과학회지
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• 제24권3호
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• pp.229-244
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• 2013

Objectives : The purpose of this study was to provide information about Maumgongbu to meet the needs of people by analysing the concept of Maumgongbu in group counseling. Methods : This study was conducted using Walker and Avant's Concept Analysis Strategy. Dictionaries, Wonbuddhism's Kyunjions and literatures, and participants' journals were reviewed after enrolling in Onsarm maumgongbu group counseling. Results : The attributes of the Maumgongbu include emotion, object, self-reflection, attribution, and creativity. The antecedents of "Maumgongbu" are the conditions arising from negative emotions. The Maumgongbu helps people find the emotional causality of their inner self by self-reflecting, getting out of false belief, restoring positive emotions, maintaining healthy and warm relationships with oneself, family, friends and society. Above all, the Maumgongbu makes people experience tranquility and true happiness and activate their positive energy or power. Conclusions : If there is a clear indication of linkage to principles, attributions, precedents and consequences, and empirical referents to any of Maumgongbu programs, there is no doubt that our understanding of the human mind and lives will be greatly enriched. Furthermore, self-discipline and steadfast complements give us calmness, peacefulness and better quality of life.

• Structural Monitoring and Maintenance
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• 제9권2호
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• pp.179-200
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• 2022

This paper proposes a data-driven methodology for online early damage identification under changing environmental conditions. The proposed method relies on two data analysis methods: feature-based method and hybrid principal component analysis (PCA) and kernel PCA to separate damage from environmental influences. First, spectral sub-band features, namely, spectral sub-band centroids (SSCs) and log spectral sub-band energies (LSSEs), are proposed as damage-sensitive features to extract damage information from measured structural responses. Second, hybrid modeling by integrating PCA and kernel PCA is performed on the spectral sub-band feature matrix for data normalization to extract both linear and nonlinear features for nonlinear procedure monitoring. After feature normalization, suppressing environmental effects, the control charts (Hotelling T² and SPE statistics) is implemented to novelty detection and distinguish damage in structures. The hybrid PCA-KPCA technique is compared to KPCA by applying support vector machine (SVM) to evaluate the effectiveness of its performance in detecting damage. The proposed method is verified through numerical and full-scale studies (a Bridge Health Monitoring (BHM) Benchmark Problem and a cable-stayed bridge in China). The results demonstrate that the proposed method can detect the structural damage accurately and reduce false alarms by suppressing the effects and interference of environmental variations.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.82-91
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• 2023

In 2020 when the COVID-19 pandemic began in full-scale, the WHO Director-General warned of the dangers of an infodemic. The infodemic is a phenomenon in which false information spreads rapidly like an epidemic and causes chaos, and it was noted that the COVID-19 pandemic is not just limited to health problems, but also linked to a variety of issues such as human rights, economic inequality, various discrimination, hate speech, fake news, global governance etc. In the field of education, it is necessary to think about how to connect this global situation with school classes. Accordingly, this study suggested the direction for global citizenship education by analyzing how the infodemic spreads on Korean social media with the case of the recent global COVID-19 pandemic. According to the research results, the rate of negative emotions was higher than positive ones in the emotions that generate infodemic, while anxiety and anger were focused among negative emotions. In addition, the infodemic tended to spread widely with the feelings of anger rather than anxiety, and the feelings of anger led to advocating aggressive policies against certain country and regions. Therefore, global citizenship education is required to focus on a sense of duty and responsibility as a citizen, not on the level of national identity based on an exclusive sense of belonging. Furthermore, global citizenship education needs to lead to presenting a blueprint for education in a way that can enhance the awareness of the global community for joint response to global challenges and realize common prosperity based on sustainability and justice.

• Toxicological Research
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• 제26권1호
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• pp.21-28
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• 2010

As the frequency and the intensity of so called Asian dust (AD) events have increased, public concerns about the adverse health effects has spiked sharply over the last two decades. Despite the recent reports on the correlation between AD events and the risk for cardiovascular and respiratory disease, the nature of the toxicity and the degree of the risk are yet largely unknown. In the present study, we investigated the effects of the dichloromethane extract of AD (AD-X) and that of urban dust (NAD-X) collected during a non-AD period on gene expression in HL-60 cells using Illumina Sentrix HumanRef-8 Expression BeadChips. Global changes in gene expression were analyzed after 24 h of incubation with 50 or 100 ${\mu}g$/ml AD-X and NAD-X. By one-way analysis of variance (p < 0.05) and Benjamini-Hochberg multiple testing correction for false discovery rate of the results, 573 and 297 genes were identified as AD-X- and NAD-X-responsive, respectively. The genes were classified into three groups by Venn diagram analysis of their expression profile, i.e., 290 AD-X-specific, 14 NAD-X-specific, and 283 overlapping genes. Quantitative realtime PCR confirmed the changes in the expression levels of the selected genes. The expression patterns of five genes, namely SORL1, RABEPK, DDIT4, AZU1, and NUDT1 differed significantly between the two groups. Following rigorous validation process, these genes may provide information in developing biomarker for AD exposure.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.17-25
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• 2023

The alarming global prevalence of Type 2 Diabetes Mellitus (T2DM) has catalyzed an urgent need for robust, early diagnostic methodologies. This study unveils a pioneering approach to predicting T2DM, employing the Extreme Gradient Boosting (XGBoost) algorithm, renowned for its predictive accuracy and computational efficiency. The investigation harnesses a meticulously curated dataset of 4303 samples, extracted from a comprehensive Chinese research study, scrupulously aligned with the World Health Organization's indicators and standards. The dataset encapsulates a multifaceted spectrum of clinical, demographic, and lifestyle attributes. Through an intricate process of hyperparameter optimization, the XGBoost model exhibited an unparalleled best score, elucidating a distinctive combination of parameters such as a learning rate of 0.1, max depth of 3, 150 estimators, and specific colsample strategies. The model's validation accuracy of 0.957, coupled with a sensitivity of 0.9898 and specificity of 0.8897, underlines its robustness in classifying T2DM. A detailed analysis of the confusion matrix further substantiated the model's diagnostic prowess, with an F1-score of 0.9308, illustrating its balanced performance in true positive and negative classifications. The precision and recall metrics provided nuanced insights into the model's ability to minimize false predictions, thereby enhancing its clinical applicability. The research findings not only underline the remarkable efficacy of XGBoost in T2DM prediction but also contribute to the burgeoning field of machine learning applications in personalized healthcare. By elucidating a novel paradigm that accentuates the synergistic integration of multifaceted clinical parameters, this study fosters a promising avenue for precise early detection, risk stratification, and patient-centric intervention in diabetes care. The research serves as a beacon, inspiring further exploration and innovation in leveraging advanced analytical techniques for transformative impacts on predictive diagnostics and chronic disease management.

• 대한방사선기술학회지:방사선기술과학
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• 제35권2호
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• pp.133-139
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• 2012

핵의학 검사에 있어서 심근 관류스캔은 관상동맥질환의 혈역학적 중요성을 평가하는 좋은 방법이다. 그러나 판독효율을 높이기 위해서 자동화된 정량적 계측 방법이 추가적으로 제시되어야한다. 본 연구에서는 판독에 필요한 심근의 3차원 기능모델과 심근 두께 계산 모델을 제시한다. 개발을 위해서 SPECT로 부터 심장의 단축단면상을 얻었고 전처리를 방정식을 적용하여 좌심근 두께의 모델링을 구현하였다. 실험결과 슬라이스 단축방향 영상으로부터 내벽과 외벽을 계측하는데 성공하였고, 계산된 좌표를 이용해서 3차원 모델링을 구현하였다. 다음 라플라스 식을 사용하여 심벽 두께의 3차원 모델을 완성하였다. 3차원 모델을 통해서 결절 부위가 쉽게 관찰할 수 있고, 3차원 모델의 회전을 통해서 병변의 위치를 빨리 파악할 수 있는 특징을 가진다. 판독 보조지표로서의 개발된 제안된 모델은 보조적 판독정보를 제공하고 오진의 확률을 낮추는데 기여할 것으로 예상한다. 허혈성 심장질환 환자의 조기 진단에도 큰 역할을 할 것이다.

• 핵의학기술
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• 제26권2호
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• pp.32-36
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• 2022

코로나바이러스의 대유행으로 인하여 백신접종이 시작되었고 코로나 백신으로 인한 림프절병증의 여러사례가 발표되고 있으며, ¹⁸F-FDG PET/CT에서는 액와 림프절에 위양성 섭취를 유발한다는 보고가 있다. 이에 코로나 백신 접종 후 기간에 따른 접종 측 액와 림프절의 SUVmax의 변화 양상을 평가하고자 한다. 환자는 접종 후 기간을 0~2주, 3~6주, 7~10주, 11주 이상으로 4개 집단으로 나누었고 FDG를 3.7 MBq/kg을 주입하고 한 시간 뒤 1 bed 당 2분 동안 촬영했다. 장비는 Discovery 600 (GE Healthcare, MI, USA)을 사용하였다. 검사 후 핵의학 판독의가 육안평가를 진행하였고, 그 결과를 토대로 접종 측액와 림프절의 섭취 여부를 구분하였다. 그 후에 유방암 부위 반대 측 팔에 백신이 접종되었으며 그로 인해 섭취가 발생한 액와 림프절에 관심 영역을 그려 SUVmax를 측정하였다. 백신접종 후 기간이 지남에 따라 접종 측 액와 림프절에 섭취된 환자의 비율과 SUVmax는 감소하였다. 또한 4개 집단의 섭취된 액와 림프절의 SUVmax를 Kruskal-Wallis test를 한 결과 4개 집단 간 SUVmax에서 통계적으로 유의한 차이가 있었고(P<0.05) Mann-Whitney test로 사후 검정한 결과 0~2주는 다른 집단과 모두 유의한 차이가 있었으나(P<0.05) 나머지 3개 집단 간에는 유의한 차이가 없는 것을 알 수 있었다. 이러한 경향성은 참고자료로써 유용할 것으로 사료되며 PET/CT 검사 전 코로나 백신접종 정보를 기록하여 진행하는 것을 권고한다.

• 한국콘텐츠학회논문지
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• 제18권5호
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• pp.149-155
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• 2018

이 연구에서는 경찰공무원의 탈진감에 따른 결근 및 징계의 정도를 살펴보았다. 독립변수인 탈진감은 선행 연구들에서 높은 신뢰도와 타당도가 검증된 Maslach Burnout Inventory(MBI)를 활용하였다. 종속변수인 결근은 결근의사, 결근실행, 거짓결근 그리고 징계는 징계경험, 징계종류로 구성하였으며, 독립변수와 종속변수 간 상관관계분석 및 회귀분석을 실시하였다. 연구 결과, 상관관계 분석에서는 탈진감과 타 요인들의 관계 중 결근 실행과 거짓 결근에서 유의미한 정적 상관관계가 나타났지만, 그 상관계수는 매우 낮았다. 또한, 탈진감과 징계 상호간에는 유의미한 상관관계가 나타나지 않았다. 회귀분석에서는 탈진감과 결근 의사, 결근 실행, 징계 종류에서 유의미한 관계가 나타났으나, 그 설명력은 매우 낮았다. 따라서 경찰공무원의 탈진감은 결근에는 전반적으로 미미한 영향을 미치지만, 징계 경험에 미치는 영향은 없음을 알 수 있다. 향후 연구에서는 이러한 관련성에 대한 보완적 조사가 이루어져야 한다.

• 한국식품위생안전성학회지
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• 제26권4호
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• pp.302-307
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• 2011

One of the most important objectives of post-marketing monitoring of dietary supplements is the early detection of unknown and unexpected adverse events (AEs). Several causality algorithms, such as the Naranjo scale, the RUCAM scale, and the M & V scale are available for the estimation of the likelihood of causation between a product and an AE. Based on the existing algorithms, the Korea Food & Drug Administration has developed a new algorithm tool to reflect the characteristics of dietary supplements in the causality analysis. However, additional work will be required to confirm if the newly developed algorithm tool has reasonable sensitivity and not to generate an unacceptable number of false positives signals.

• 디지털콘텐츠학회 논문지
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• 제19권1호
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• pp.193-198
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• 2018

우리나라는 인터넷과 전화 및 스마트기기 보급률이 세계 최고 수준에 이르고 있다. 이러한 인프라를 악용한 사이버금융범죄는 지속적으로 발전하고 있다. 2006년 5월에 국내 최초로 보이스피싱 범죄가 발생한 이후, 10년이 지난 현재까지 보이스피싱 범죄는 지속적으로 발생하고 있다. 보이스피싱이란 피해자에게 허위의 내용으로 전화를 걸어, 피해자의 계좌번호 및 패스워드 등을 알아 내어 금전을 편취하는 범죄이다. 이러한 보이스피싱은 그 수법이 날로 진화 발전하여 수사에 어려움을 격고 있다. 보이스피싱의 대부분은 중국 등 동남아시아에 그 본거지를 두고 활동하는 국제조직범죄의 형태로써 국제협력수사에 의하지 않고는 근절이 쉽지 않다. 이에 본 연구는 보이스피싱 범죄에 대한 발생실태와 사례분석을 하고, 경찰의 보이스피싱에 대한 대응방안을 살펴본 후, 이에 대한 개선점을 제시하고자 한다.