• Journal of Korean Traditional Oncology
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• v.26 no.1
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• pp.1-15
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• 2021

Objective: The aim of this review is to analyze the studies using syndrome differentiation questionnaire in cancer patients. Methods: We searched electronic databases including Pubmed, google scholar, Cochrane library, CNKI, KISS, RISS and OASIS. Key words used for searching were cancer, Korean medicine, pattern identification, and questionnaire. Studies using a symptom differentiation questionnaire to cancer patients were selected. Results: 35 studies were enrolled. A total of 17 questionnaires was used. Most of the types of included studies were observational studies, followed by randomized controlled trials (RCTs) and validation studies. The purposes of using questionnaires were rrelation analysis, outcome measurement, evaluating adverse events, subgroup analysis, and questionnaire development. The most used questionnaire was Body Constitution Questionnaire (BCQ), and it was used 8 times, Questionnaire for the Sasang Constitution Classification II (QSCC II) was used 5 times, Constitution in Chinese Medicine Questionnaire (CCMQ), TCM-Symptom Complex Differentiation Questionnaire (TCM-SCDQ), Yin Deficiency Questionnaire were used 4 times, and Qi Blood Yin Yang Deficiency Questionnaire was used twice. BCQ is a questionnaire diagnosing and evaluating yang deficiency, yin deficiency, and blood stasis. It has high reliability, validity, and optimal cut-off value. Conclusion: BCQ is the most used syndrome differentiation questionnaire in cancer-related studies. So, BCQ could be recommended in syndrome differentiation-related cancer studies.

• Kosin Medical Journal
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• v.33 no.3
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• pp.297-306
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• 2018

Objectives: Identification of axillary metastases in breast cancer is important for staging disease and planning treatment, but current techniques are associated with a number of adverse events. This report evaluates the diagnostic accuracy of superparamagnetic iron oxide (SPIO)-enhanced magnetic resonance imaging (MRI) techniques for identification of axillary metastases in breast cancer patients. Methods: We performed a meta-analysis of previous studies that compared SPIO enhanced MRI with histological diagnosis after surgery or biopsy. We searched PubMed, Ovid, Springer Link, and Cochrane library to identify studies reporting data for SPIO enhanced MRI for detection of axillary lymph node metastases in breast cancer until December 2013. The following keywords were used: "magnetic resonance imaging AND axilla" and "superparamagnetic iron oxide AND axilla". Eligible studies were those that compared SPIO enhanced MRI with histological diagnosis. Sensitivity and specificity were calculated for every study; summary receiver operating characteristic and subgroup analyses were done. Study quality and heterogeneity were also assessed. Results: There were 7 publications that met the criteria for inclusion in our meta-analysis. SROC curve analysis for per patient data showed an overall sensitivity of 0.83 (95% Confidence interval (CI): 0.75-0.89) and overall specificity of 0.97 (95% CI: 0.94-0.98). Overall weighted area under the curve was 0.9563. Conclusions: SPIO enhanced MRI showed a trend toward high diagnostic accuracy in detection of lymph node metastases for breast cancer. So, when the breast cancer patients has axillary metastases histologically, SPIO enhanced MRI may be effective diagnostic imaging modality for axillary metastases.

• The Journal of Internal Korean Medicine
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• v.42 no.3
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• pp.385-402
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• 2021

Objective: This study confirms the safety and efficacy of Banhasasim-tang (BST) against cough through systematic review and meta-analysis. Methods: PubMed, Cochrane, ScienceDirect, Wiley online library, OASIS, KISS, NDSL, RISS, Science and Technology Society Village, DBpia, CNKI, J-STAGE, and CiNii were used as search engines. The search period was from the start of search engine support to June 30. 2020. And search language was not limited. Cochrane's risk of bias (RoB) tool was used to evaluate the quality of the studies. A meta-analysis of the total effective rate (TER), cough symptom score, and spirometry results was performed using the Review Manager program. Results: 6 studies were finally selected. The group using BST showed significant symptom relief, as the odds ratio (OR) value of TER was 5.56 times higher (95% CI: 3.50, 8.82, P<0.0001) compared to the control groups. The reported adverse effects did not occur in the intervention group. In addition, the cough symptom score and spirometry results showed that BST was more effective than Western medicine alone. Conclusion: BST can be expected to relieve cough, and it can be applied to chronic cough that is not treated with existing treatments. However, due to the low quality of the selected articles, additional high-quality RCTs will be required in the future.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.104-104
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• 2017

연구 데이터란 과학적 연구에서 사용된 일차 자료와 연구자에 의해 직접 작성된 연구의 결과로서 수치, 문자, 이미지, 음성 등의 사실적 기록을 의미한다. 이 연구의 주제 분야인 의학은 잠재적 가치와 활용 가능성이 높고 공익적 성격을 가지고 있는 학문 분야로 의학 연구 데이터의 종류와 관리의 필요성을 통해서 그 가치와 공유 의미를 찾아보고자 한다. 또한 연구 데이터의 대표적인 임상 시험 기록과 연구 논문의 발표와 공유 현황에 대해서도 살펴보고 그 안에서 도서관의 역할이 어떤 것인가를 짚어보고자 한다. 의학 연구 데이터는 환자 진료기록, 건강 검진 기록, 임상 기록, 사망 기록, 임상 시험 기록, 유전체 정보, 연구 논문 등 그 종류와 형태가 다양하며 대용량인 경우가 많다. 의학 연구는 개인 정보보호와 윤리적인 문제 등 연구 수행 과정에서 어려운 점이 많은 성격을 가지고 있으나 질병 치료나 예방 나아가 인류의 건강과 직접적으로 관련된 학문 분야로 의학 연구 데이터의 보존과 공개, 공유를 위한 관리는 큰 의미가 있다. 의학 연구 데이터관리는 새로운 연구의 밑받침이 될 뿐만 아니라 중 저개발 국가의 연구자들에게도 큰 기회를 부여하여 세계적인 의학 발전에 기여할 수 있다. 또한 임상 시험 결과에 대한 은폐와 거짓 연구 방지에도 의미가 있어 미국뿐만 아니라 전세계적으로 학술 연구 논문 발표에 사용된 데이터는 등록하도록 규정하고 있다. 임상 시험 등록으로 공인된 사이트는 NIH의 ClinicalTrials.gov, ICTRP의 Primary Registry 등이 있으며, 우리나라에도 질병관리본부 국립보건연구원에서 관리하는 CRIS 등이 있다. 의학 연구자들은 연구의 시작부터 연구 데이터를 수집, 사용, 보존, 공유의 문제를 고려해야 하나 시간적 물리적인 문제 등으로 어려움을 겪고 있으며, 이를 지원하는 서비스는 도서관에서도 관심이 높아지고 있는 분야로 Virginia Commonwealth 대학 도서관과 Emory 대학 도서관 등에서 시도되고 있다. 이 서비스는 연구 과정에서 사서의 지원이 가능한 새로운 기회로 연구자의 데이터관리를 위한 단계별 스토리를 조직하고 DMP 작성 지원 및 교육 등을 통해서 학술 커뮤니케이션에서 새로운 역할자로 자리잡을 수 있을 것이다.

• Smart Media Journal
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• v.10 no.1
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• pp.32-38
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• 2021

Image classification through deep learning on the image from photographs has been a very active research field for the past several years. In this paper, we propose a method of automatically discriminating stone images from domestic source through deep learning, which is to use Python's hash library to scan 300×300 pixel photo images of granites such as Hwangdeungseok, Goheungseok, and Pocheonseok, performing data preprocessing to create learning images by examining duplicate images for each stone, removing duplicate images with the same hash value as a result of the inspection, and deep learning by stone. In addition, to utilize VGGNet, the size of the images for each stone is resized to 224×224 pixels, learned in VGG16 where the ratio of training and verification data for learning is 80% versus 20%. After training of deep learning, the loss function graph and the accuracy graph were generated, and the prediction results of the deep learning model were output for the three kinds of stone images.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.87-112
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• 2021

Volunteers in public libraries are recognized only as internal manpower, so their sustainability and effectiveness are limited because the motivation for volunteering is hardly considered. This study aims to explore the motivation for volunteering in public libraries and the factors to continuation of the volunteering, and to analyze how these factors affect volunteer satisfaction and marketing intentions. To this end, the variables in this studies including satisfaction and motivation was defined operationally based on the related research and a pilot study with several in-depth interviews. A questionnaire survey was executed with the defined variables and the survey data were analyzed statistically. The results showed that the factors of emotional and psychological motivation influenced the satisfaction and marketing intention rather than the managerial factors such as remuneration. The results indicate the need for a change in volunteer management to a relationship-oriented management method. This study is meaningful in that it expands the value of volunteers in public libraries from as managerial to as marketing resources for public libraries.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.103-112
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• 2022

As an alternative to improving the quality of life of the elderly and meeting the needs of high-level care, nursing services and needs, we aim to be the basis for formulating improvement proposals by applying the development of a fragrant healing-based fusion and complex social service professional training program. After conducting a questionnaire survey of 30 trainees in Guangzhou for 16 days from June 14, 2021 to September 23, 2021, and conducted a 7-day questionnaire survey, the education preference survey showed that in the educational preference, aromatherapy education was the highest surveyed at 42.11%, and the need for aromatherapy courses after the application of educational programs was the highest at 50%, and satisfaction was the highest at 48%. Accordingly, this study is used as a basis for the revitalization of the age-friendly industry and aims to contribute to the consolidation of senior care and nursing services and the securing of excellent personnel related to high-value-added fusion and complex social services.

• Journal of the Korean Society for information Management
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• v.39 no.4
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• pp.127-157
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• 2022

The study aims to establish the concept of customerized research information services in academic libraries and to build librarians' consensus on the need for customerized research information services. The literature review enabled summarizations of the definition of research information service, customerization, and research trends. A categorization process resulted in a list of research information services of academic libraries. The Delphi method survey revealed the necessity of providing research information services and applying customerization to research information services based on the opinions of librarians. The librarians agreed on eight research information services using customerization services. This study has significance because it proposed new attempts to improve and develop research information services and explored ways to enhance the expertise and value of academic libraries by forming a consensus among librarians.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.268-268
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• 2021

Groundwater resource is mostly used in Abomey-calavi (southern region of Benin) as main source of water for domestic, industrial, and agricultural activities. Groundwater intake across the region is not perfectly controlled by a network due to the presence of many private boreholes and traditional wells used by the population. After some decades, this important resource is becoming more and more vulnerable and needs more attention. For a better groundwater management in the region of Abomey-calavi, the present study attempts to predict a future probable groundwater drought using Recurrent Neural Network (RNN) for future groundwater level prediction. The RNN model was created in python using jupyter library. Six years monthly groundwater level data was used for the model calibration, two years data for the model test and the model was finaly used to predict two years future groundwater level (years 2020 and 2021). GRI was calculated for 9 wells across the area from 2012 to 2021. The GRI value in dry season (by the end of March) showed groundwater drought for the first time during the study period in 2014 as severe and moderate; from 2015 to 2021 it shows only moderate drought. The rainy season in years 2020 and 2021 is relatively wet and near normal. GRI showed no drought in rainy season during the study period but an important diminution of groundwater level between 2012 and 2021. The Pearson's correlation coefficient calculated between GRI and rainfall from 2005 to 2020 (using only three wells with times series long period data) proved that the groundwater drought mostly observed in dry season is not mainly caused by rainfall scarcity (correlation values between -0.113 and -0.083), but this could be the consequence of an overexploitation of the resource which caused the important spatial and temporal diminution observed from 2012 to 2021.

• Animal Bioscience
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• v.37 no.2
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• pp.184-192
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• 2024

Objective: This study aims to investigate the genetic structure and characteristics of the Angus cattle population in Hungary. The survey was performed with the assistance of the Hungarian Hereford, Angus, Galloway Association (HHAGA). Methods: Genetic parameters of 1,369 animals from 16 Angus herds were analyzed using the genotyping results of 12 microsatellite markers with the aid of PowerMarker, Genalex, GDA-NT2021, and STRUCTURE software. Genotyping of DNA was performed using an automated genetic analyzer. Based on pairwise identity by state values of animals, the Python networkx 2.3 library was used for network analysis of the breed and to identify the central animals. Results: The observed numbers of alleles on the 12 loci under investigation ranged from 11 to 18. The average effective number of alleles was 3.201. The overall expected heterozygosity was 0.659 and the observed heterozygosity was 0.710. Four groups were detected among the 16 Angus herds. The breeders' information validated the grouping results and facilitated the comparison of birth weight, age at first calving, number of calves born and productive lifespan data between the four groups, revealing significant differences. We identified the central animals/herd of the Angus population in Hungary. The match of our group descriptions with the phenotypic data provided by the breeders further underscores the value of cooperation between breeders and researchers. Conclusion: The observation that significant differences in the measured traits occurred among the identified groups paves the way to further enhancement of breeding efficiency. Our findings have the potential to aid the development of new breeding strategies and help breeders keep the Angus populations in Hungary under genetic supervision. Based on our results the efficient use of an upcoming genomic selection can, in some cases, significantly improve birth weight, age at first calving, number of calves born and the productive lifespan of animals.