• 한국인구학
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• 제17권2호
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• pp.98-115
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• 1994

This study is attempting to examine the possible determinants of the rise of the sex ratio at birth from 106 to 110 in past decade in Taiwan. The basic hypothesis for the sudden rise of the sex ratio at birth is due to a combination of prenatal sex determination and abortion. The reasoning for this hypothesis involves three types of considerations - motivation, norm, and access. The theory is evaluated by analyzing data from birth registration and a large and representative sampie of Taiwanese wives of childbearing age. The empirical data seem to support the theoretical preposition and the basic hypothesis that the rise of the sex ratio at birth in Taiwan is due to a combination of prenatal sex determination and abortion. There is striking evidence of son-preference in the rise of the sex ratio at birth in higher birth order. In 1990 the sex ratio was 119 for third births and 128 for fourth and fifth births compared to the expected 106. Also, the 1991 KAP data indicated that women who have only daughters but no any son are more likely to make prenatal sex screening and terminate their pregnancies in male live births at higher birth order. Obviously, genetic diagnosis through chorionic villus sampling which was available in recent years was misused for prenatal sex determination and sex selective abortion.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.190-194
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• 2023

By looking the importance of communication, data delivery and access in various sectors including governmental, business and individual for any kind of data, it becomes mandatory to identify faults and flaws during cyber communication. To protect personal, governmental and business data from being misused from numerous advanced attacks, there is the need of cyber security. The information security provides massive protection to both the host machine as well as network. The learning methods are used for analyzing as well as preventing various attacks. Machine learning is one of the branch of Artificial Intelligence that plays a potential learning techniques to detect the cyber-attacks. In the proposed methodology, the Decision Tree (DT) which is also a kind of supervised learning model, is combined with the different cross-validation method to determine the accuracy and the execution time to identify the cyber-attacks from a very recent dataset of different network attack activities of network traffic in the UNSW-NB15 dataset. It is a hybrid method in which different types of attributes including Gini Index and Entropy of DT model has been implemented separately to identify the most accurate procedure to detect intrusion with respect to the execution time. The different DT methodologies including DT using Gini Index, DT using train-split method and DT using information entropy along with their respective subdivision such as using K-Fold validation, using Stratified K-Fold validation are implemented.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제23권3호
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• pp.599-624
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• 2009

본 연구에서는 중학교 2학년 106명의 학생들을 대상으로 대수 문장제 해결에서 나타난 오류의 유형을 조사하고, 학생들의 오류 유형과 Polya의 문제 해결 단계의 관련성에 대하여 알아보았다. 연구 결과 대수 문장제 해결에서 학생들의 오류는 "잘못 해석된 언어"(39.7%), "왜곡된 정리나 정의"(38.2%), "기술적 오류"(11.8%), "검증되지 않은 답"(7.4%), "오용된 자료"(2.9%), "논리적으로 타당하지 않은 추론"(0%)의 6가지 오류로 분류하였다. 대수 문장제 해결에서 나타나는 학생들의 오류가 대수 문장제 해결과 어떤 관련성을 가지고 있는지 조사한 결과 학생들의 특정 오류 유형과 문제 해결 단계 사이에 긴밀한 관련성이 발견되었다. 오용된 자료의 오류를 범하는 학생들은 대부분 계획 실행 단계를 성공적으로 수행하지 못하였고, 잘못 해석된 언어, 왜곡된 정리나 정의의 오류를 범하는 학생들은 문제의 이해, 계획의 작성, 반성 단계를 성공적으로 수행하지 못하였다. 검증되지 않은 답의 오류를 범한 학생들은 계획의 작성과 반성의 단계를 성공적으로 수행하지 못하였으며, 기술적 오류를 범한 학생들은 특히 반성 단계를 성공적으로 수행하지 못하였다.

• Mycobiology
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• 제49권4호
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• pp.308-345
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• 2021

Lactifluus (Pers.) Roussel is an ectomycorrhizal genus that was recently recognized to be distinct from the genus Lactarius. To date, 226 Lactifluus species have been reported worldwide. Misidentification of Lactifluus species is common because of intraspecific morphological variation, cryptic diversity, and the limited number of taxonomic keys available. Molecular data are indispensable for species delimitation; a multilocus phylogenetic analysis showed that most Asian Lactifluus species are not conspecific with morphologically similar species present on other continents. In particular, Korea has misused European and North American Lactifluus names. In this study, we evaluated the taxonomy of Lactifluus in Korea using both morphological and multilocus molecular (ITS, nrLSU, rpb1, and rpb2) data. We examined 199 Lactifluus specimens collected between 1980 and 2016, and a total of 24 species across the four Lactifluus subgenera were identified. All Korean species are distinct and clearly separated from European and North American species. Five taxa corresponded to previously described species from Asia and the remaining 19 taxa are confirmed as new species. Herein, we provide keys to the Korean Lactifluus species within their subgenera, molecular phylogenies, a summary of diversity, and detailed description of the new species.

• 한국멀티미디어학회논문지
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• 제24권12호
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• pp.1624-1631
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• 2021

With the continued development of image processing technology, we live in a time when it is difficult to visually discriminate processed (or tampered) images from real images. However, as the risk of fake images being misused for crime increases, the importance of image forensic science for identifying fake images is emerging. Currently, various deep learning-based identifiers have been studied, but there are still many problems to be used in real situations. Due to the inherent characteristics of deep learning that strongly relies on given training data, it is very vulnerable to evaluating data that has never been viewed. Therefore, we try to find a way to improve generalization ability of deep learning-based fake image identifiers. First, images with various contents were added to the training dataset to resolve the over-fitting problem that the identifier can only classify real and fake images with specific contents but fails for those with other contents. Next, color spaces other than RGB were exploited. That is, fake image identification was attempted on color spaces not considered when creating fake images, such as HSV and YCbCr. Finally, dropout, which is commonly used for generalization of neural networks, was used. Through experimental results, it has been confirmed that the color space conversion to HSV is the best solution and its combination with the approach of increasing the training dataset significantly can greatly improve the accuracy and generalization ability of deep learning-based identifiers in identifying fake images that have never been seen before.

• 한국학교수학회논문집
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• 제5권1호
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• pp.69-86
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• 2002

This study accordingly brought the analysis of the error into focus to instruct the liner inequality efficiently. Students, in result, committed errors: misused data(14.6%), misinterpreted problem(15.0%), logically invalid inference(2.7%), misunderstood theorem or definition(22.1%), unmatched solution(22.4%), technical error(17.5%), omission of solving process(5.7%). Through the analysis of preceding errors, I try to emphasize the following in instructing students: First, you must emphasize studying of concept of the liner inequality and instruct students in the use of that Second, you must minimize the error by searching for the error that students are apt to commit and showing the anti-example when you instruct them in the liner inequality. Third, after evaluation, you must tell the result to students, and show many forms of the liner inequality with various means lest they should commit the same error. Therefore, if an instructor gives lessons to the students studying the instructive methods in order not to make errors about the contents mentioned above, it will help students understand much faster and arouse their curiosities and interests in lessons, and so they will take lessons willingly.

• 생약학회지
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• 제39권3호
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• pp.179-185
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• 2008

Three species, such as Rheum palmatum L., R. tanguticum Maxim. and R. officinale Baillon are recognized as the source plants of Rhei Rhizoma in Korean Pharmacopeia. However, other herbal sources such as R. undulatum L. and Rumex crispus L. have been often misused as Rhei Rhizoma. A pattern analysis method to discriminate Rhei Rhizoma in Korean Pharmacopeia from other herbal plants using HPLC and TLC chromatograms was developed. The multivariate peak data of the chromatograms of methanol extracts of Rhei Rhizoma were used for hierarchical clustering analysis, principal components analysis and similarity calculation. Besides of the statistic analysis, TLC patterns of samples could be used as criteria of the discrimination. The developed pattern analysis method was specific and could be readily utilized for comprehensive evaluation of Rhei Rhizoma.

• 암석학회지
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• 제1권2호
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• pp.132-137
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• 1992

이 논문은 등시선을 정의하지 않는 제천 화강암에 대한 Rb-Sr 동위원소 자료(주승환, 1989)가 이 화강암체의 기원에 관하여 어떻게 이용될 수 있는 가를 보인다. 기존 연대측정 자료에 의해 관입시기를 약 2억년으로 추정했을 때, 제천 화강암체의 Sr 초생치는 0.713∼0.724의 변화를 보인다. 이들 초기치 중, 높은 값을 가지는 시료는 주로 암체 연변부에 분포하고 있어 동화작용이 주로 연변부에서 일어났으며, 동화된 물질이 잘 섞이지 않았음을 지시한다. 원래의 화강암질 마그마와 주변암의 두 성분 혼화 관계로 추정되는 혼화 정도는 약 20%까지로 계산된다. 이러한 혼화에 대한 증거 때문에 최소 초생치인 약 0.713이 원래의 관입한 마그마의 것을 대표하는지는 확실하지 않으나, 낮은 맨틀 값과 비교할 때, 원래 마그마가 생성되어 정치하는 동안 Sr동위원소비가 높은 지각물질(예, 퇴적기원)이 많이 관여했음을 시사한다.

• 보건행정학회지
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• 제31권4호
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• pp.409-422
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• 2021

The growing use of prescription analgesic opioids has rapidly escalated the treatment of chronic pain since the 1990s; however, it is also highly needed to control opioid-related issues, including opioids misuse, abuse, and addiction. In 2018, Organization for Economic Cooperation and Development (OECD) secretariat administered the survey on opioids use and policies to OECD countries and presented it at the Health Committee meeting of December 2018. This study aimed to review the opioids use in OECD countries and their policies to prevent and reduce associated harms, also seek the available policy lessons from OECD countries. More recently, opioids prescribing rate have been increased 14.7% between 2011-2013 and 2014-2016 and steadily focused on the main substance misused and abused in Korea. In addition, policy efforts have contributed to developing a guideline for prescribing opioids to steer the appropriate use of prescription analgesic opioids since 2000 in Korea, so it is not enough to control opioids compared with other OECD countries. Therefore, taking a people-centered and public health perspective, it will consider the health system policies and interventions at a national level to improve their preparation and approach to control opioid-related issues.

• Journal of Preventive Medicine and Public Health
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• 제45권4호
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• pp.267-275
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• 2012

Objectives: This study was conducted to assess the potential health impacts and improve the quality of the free immunization program in Jinju City by maximizing the predicted positive health gains and minimizing the negative health risks. Methods: A steering committee was established in September 2010 to carry out the health impact assessment (HIA) and began the screening and scoping stages. In the appraisal stage, analysis of secondary data, a literature review, case studies, geographic information systems analysis, a questionnaire, and expert consultations were used. The results of the data collection and analyses were discussed during a workshop, after which recommendations were finalized in a written report. Results: Increased access to immunization, comprehensive services provided by physicians, the strengthened role of the public health center in increasing immunization rates and services, and the ripple effect to other neighboring communities were identified as potential positive impacts. On the other hand, the program might be inaccessible to rural regions with no private clinics where there are more at-risk children, vaccine management and quality control at the clinics may be poor, and vaccines may be misused. Recommendations to maximize health gains and minimize risks were separately developed for the public health center and private clinics. Conclusions: The HIA provided an opportunity for stakeholders to comprehensively overview the potential positive and negative impacts of the program before it was implemented. An HIA is a powerful tool that should be used when developing and implementing diverse health-related policies and programs in the community.