• Title/Summary/Keyword: Alternative methods

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Management of Recurrent Thyroid Carcinoma with Negative Diagnostic Radioiodine Whole-Body Scan (진단적 방사성옥소 전신스캔이 음성인 갑상선 재발암의 진료)

  • Chung, June-Key
    • The Korean Journal of Nuclear Medicine
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    • v.35 no.3
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    • pp.117-124
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    • 2001
  • Serum thyroglobulin measurement and I-131 whole-body scintigraphy (WBS) are well-established methods for the detection of recurrence in the follow-up of patients with thyroid carcinoma. However, inconsistent results are observed frequently, and these two methods are not always able to detect recurrence. In some patients, serum thyroglobulin level is elevated but the WBS is negative, because the recurrent tumor is too small and below the sensitivity of the diagnostic scan, or there is a dissociation between thyroglobulin synthesis and the iodine frapping mechanism. In such cases, various nuclear imaging methods including Tl-201 Tc-99m-sestamibi, and F-18-FDG PET can be used besides anatomical imaging methods. Among them, FDG PET localizes recurrent lesions in WBS-negative thyroid carcinoma with high accuracy. Several studies have suggested that empirical high-dose I-131 therapy resulted in a high rate of visualization in post-therapy scans with evidence of subsequent improvement. An important question is when to operate on patients with recurrent tumor. We believe that surgical removal is the best means of treatment for patients with localized persistent tumor, despite the high-dose I-131 therapy. with tumor in thyroid remnant, and with isolated recurrence in the lymph node, lung or bone. In addition, we recommend palliative resection of locally unresectable mass with subsequent treatment with high-dose I-131 therapy. Before I-131 therapy, the evaluation of sodium-iodide symporter expression in thyroid carcinoma can predict iodine uptake. Retinoic acid is known to induce redifferentiation, and to enhance I-131 uptake in thyroid carcinoma. Retinoic acid therapy may represent an alternative approach before high-dose I-131 therapy.

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A Study on Organizing the Web Using Facet Analysis (패싯 분석을 이용한 웹 자원의 조직)

  • Yoo, Yeong-Jun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.15 no.1
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    • pp.23-41
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    • 2004
  • In indexing and organizing Web resources, there have been two basic methods: automatic indexing by extracting key words and library classification schemes or subject directories of search engines. But, both methods have failed to satisfy the user's information needs, due to the lack of standard criteria and the irrationality of its structural system. In this paper I have examined the limits of library classification scheme's structures and the problems related to the nature of Web resources such as specificity and exhaustivity. I have also attempted to explain the logicality of Web resources organization by facet analysis and its strengths and limitations. In so doing, I have proposed three specific methods in using facet analysis: firstly, indexing system by facet analysis; secondly, the alternative transformation of the enumerative classification scheme into facet classification scheme; and finally, the facet model of subject directory of domestic search engine. After examining the three methods, my study concludes that a controlled vocabulary by facet analysis can be employed as a useful method in organizing Web resources.

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Informal Quality Data Analysis via Sentimental analysis and Word2vec method (감성분석과 Word2vec을 이용한 비정형 품질 데이터 분석)

  • Lee, Chinuk;Yoo, Kook Hyun;Mun, Byeong Min;Bae, Suk Joo
    • Journal of Korean Society for Quality Management
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    • v.45 no.1
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    • pp.117-128
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    • 2017
  • Purpose: This study analyzes automobile quality review data to develop alternative analytical method of informal data. Existing methods to analyze informal data are based mainly on the frequency of informal data, however, this research tries to use correlation information of each informal data. Method: After sentimental analysis to acquire the user information for automobile products, three classification methods, that is, $na{\ddot{i}}ve$ Bayes, random forest, and support vector machine, were employed to accurately classify the informal user opinions with respect to automobile qualities. Additionally, Word2vec was applied to discover correlated information about informal data. Result: As applicative results of three classification methods, random forest method shows most effective results compared to the other classification methods. Word2vec method manages to discover closest relevant data with automobile components. Conclusion: The proposed method shows its effectiveness in terms of accuracy and sensitivity on the analysis of informal quality data, however, only two sentiments (positive or negative) can be categorized due to human errors. Further studies are required to derive more sentiments to accurately classify informal quality data. Word2vec method also shows comparative results to discover the relevance of components precisely.

A Study of Method about Gathering-analysis, of Legal Guarantee Device about Offerer Rights in Oriental Herbal Prescription-mystique (한방처방비법등의 수집분석방법 및 자료제공자등의 권리에 대한 법적보장방안연구)

  • 이지연;김홍준;주영승;이기성;박상구;이상정
    • The Journal of Korean Medicine
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    • v.21 no.4
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    • pp.159-173
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    • 2000
  • Objectives : First, to restore reliability of oriental prescriptions that are effective against incurable diseases, Second, in the short term, to secure the validity of traditional remedies with the help of accumulated data and in the long term, develop new therapeutic methods and prescriptions in order to broaden its aspect in the field of medicine. Third, to maintain predominance on oriental therapeutic methods and put it into practical use based upon the results obtained by this paper. Methods : In the primary sub-thesis(herbalogical analytic methods applied on unknown oriental prescriptions), models of analytic method and in gathering information that could be put into practice are being revised In the secondary sub-thesis(method in gathering and analysing in dealing with oriental prescription), several statistical approaches and analysis on data that has been gathered are being revised. In the tertiary sub-thesis(research on legal guarantee of the offerer rights), an alternative scheme that covers the limitations of the legislative content in dealing with offerer rights is being revised Results : This research has revealed several problems, including those which were foreseen, in proceeding with the project. The prospect of the involvement of the medical personnel engaging in the field of oriental medicine was remarkably bright. Given the condition that the project will proceed as it follows, unknown oriental prescriptions and remedies which have been particularly ignored will eventually play an important role in clinical practice. Conclusions : It is clear to everyone that these oriental remedies will remain ignored by the public unless they gain popularity. Strict verifications on these oriental remedies are definitely needed in order to overcome this limitation. Finally, it should provide a momentum in the field of medicine in gaining popularity to the public.

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Assessment of quantitative structure-activity relationship of toxicity prediction models for Korean chemical substance control legislation

  • Kim, Kwang-Yon;Shin, Seong Eun;No, Kyoung Tai
    • Environmental Analysis Health and Toxicology
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    • v.30 no.sup
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    • pp.7.1-7.10
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    • 2015
  • Objectives For successful adoption of legislation controlling registration and assessment of chemical substances, it is important to obtain sufficient toxicological experimental evidence and other related information. It is also essential to obtain a sufficient number of predicted risk and toxicity results. Particularly, methods used in predicting toxicities of chemical substances during acquisition of required data, ultimately become an economic method for future dealings with new substances. Although the need for such methods is gradually increasing, the-required information about reliability and applicability range has not been systematically provided. Methods There are various representative environmental and human toxicity models based on quantitative structure-activity relationships (QSAR). Here, we secured the 10 representative QSAR-based prediction models and its information that can make predictions about substances that are expected to be regulated. We used models that predict and confirm usability of the information expected to be collected and submitted according to the legislation. After collecting and evaluating each predictive model and relevant data, we prepared methods quantifying the scientific validity and reliability, which are essential conditions for using predictive models. Results We calculated predicted values for the models. Furthermore, we deduced and compared adequacies of the models using the Alternative non-testing method assessed for Registration, Evaluation, Authorization, and Restriction of Chemicals Substances scoring system, and deduced the applicability domains for each model. Additionally, we calculated and compared inclusion rates of substances expected to be regulated, to confirm the applicability. Conclusions We evaluated and compared the data, adequacy, and applicability of our selected QSAR-based toxicity prediction models, and included them in a database. Based on this data, we aimed to construct a system that can be used with predicted toxicity results. Furthermore, by presenting the suitability of individual predicted results, we aimed to provide a foundation that could be used in actual assessments and regulations.

New treatment method for pain and reduction of local anesthesia use in deep caries

  • Yun, Jihye;Shim, Youn-Soo;Park, So-Young;An, So-Youn
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.18 no.5
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    • pp.277-285
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    • 2018
  • Chemo-mechanical caries removal methods are known to be more effective compared with conventional methods in pain reduction. $Carie-care^{TM}$, a chemo-mechanical caries removal agent, was introduced in 2010 but a systematic review of its efficacy has not yet been performed. The purpose of this study was to investigate the effectiveness of $Carie-care^{TM}$ on the outcomes of treatment of caries in children and adolescents. The primary outcome was pain while the secondary outcomes included complete caries removal (CCR), time, need for local anesthesia and behavioral response changes. A Comprehensive literature search was performed in PubMed, EMBASE, and the Cochrane Library up to 30 September 2018. The following keywords were used in the search: 'chemo-mechanical caries removal agent', 'dental caries', 'Carie-care', 'chemo-mechanical caries removal', 'chemo-mechanical caries excavation', other related keywords, and their combinations. From 942 studies identified, 16 were analyzed. Finally, 4 studies met the eligibility criteria and 260 teeth in 120 children and adolescents were included in this review. This review showed that $Carie-care^{TM}$ reduces pain during caries treatment but requires a longer time for effective treatment than conventional methods. Local anesthesia was not required in the Chemo-mechanical caries removal (CMCR) group. In addition, dental anxiety decreased compared to the control group, and co-operation was more positive. Therefore, it may be a useful alternative to conventional methods in children and adolescents, but further verification through additional studies is needed.

Principles and Methods for Critical Mathematics Education: An Explorative Study of a Program (비판적 수학교육의 원리와 방법 탐색: 프로그램 개발을 위한 기초연구로서)

  • Song, Ryoon-Jin;Ju, Mi-Kyung
    • Journal of Educational Research in Mathematics
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    • v.27 no.4
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    • pp.857-888
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    • 2017
  • Due to globalization, diversification, and informatization, modern society confronts change and crisis in a variety of areas such as economy, politics, and culture. In that context, mathematics educators seek for how to reform school mathematics for democratic and just society. This research proposes critical mathematics education as an alternative model of school mathematics for democratic society. In particular, this research is an explorative study to construct a model of critical mathematics education program. For the purpose, we conducted a comprehensive literature review to identify goals, contents, and methods of teaching and learning, and method of assessment for critical mathematics education. We checked the validity of the model by using the cases of critical mathematics education. Since this research is explorative in the regard that the model is based on theoretical literatures, further research is necessary to extend the model through design research in school context.

Methods for Decision making model in Apartment development projects using on Analytic Hierarchy Process (AHP기법을 이용한 공동주택 개발 사업 의사결정 평가 모델 개발)

  • Kim, Man-Jang;Lee, Jae-Seob
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.5
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    • pp.95-103
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    • 2008
  • In recent years, there has been more reconstruction and redevelopment of apartments rather than efforts to consider alternative to extend the life time oh the apartments. It is essential to try to develop ways to adequately maintain and to use the apartment facilities efficiently in order to preserve earth environment and the limited resource. However, lacking research on the effects obtained through remodelling and maintenance have interfered with the vitalizing of the market. The objective of this study is to propose criterions and methods with which to evaluate adequacy of developing method. A survey was performed to investigate important evaluating methods in order to obtain advices that can smoothly progress improve apartment developing method. This study applied AHP(Analytical Hierarchy Process) methods for reasonable dependancy of developing in apartment. Through this study, the flow of apartment market is elevated to reaching the level in advanced nation.

An Efficient One Class Classifier Using Gaussian-based Hyper-Rectangle Generation (가우시안 기반 Hyper-Rectangle 생성을 이용한 효율적 단일 분류기)

  • Kim, Do Gyun;Choi, Jin Young;Ko, Jeonghan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.2
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    • pp.56-64
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    • 2018
  • In recent years, imbalanced data is one of the most important and frequent issue for quality control in industrial field. As an example, defect rate has been drastically reduced thanks to highly developed technology and quality management, so that only few defective data can be obtained from production process. Therefore, quality classification should be performed under the condition that one class (defective dataset) is even smaller than the other class (good dataset). However, traditional multi-class classification methods are not appropriate to deal with such an imbalanced dataset, since they classify data from the difference between one class and the others that can hardly be found in imbalanced datasets. Thus, one-class classification that thoroughly learns patterns of target class is more suitable for imbalanced dataset since it only focuses on data in a target class. So far, several one-class classification methods such as one-class support vector machine, neural network and decision tree there have been suggested. One-class support vector machine and neural network can guarantee good classification rate, and decision tree can provide a set of rules that can be clearly interpreted. However, the classifiers obtained from the former two methods consist of complex mathematical functions and cannot be easily understood by users. In case of decision tree, the criterion for rule generation is ambiguous. Therefore, as an alternative, a new one-class classifier using hyper-rectangles was proposed, which performs precise classification compared to other methods and generates rules clearly understood by users as well. In this paper, we suggest an approach for improving the limitations of those previous one-class classification algorithms. Specifically, the suggested approach produces more improved one-class classifier using hyper-rectangles generated by using Gaussian function. The performance of the suggested algorithm is verified by a numerical experiment, which uses several datasets in UCI machine learning repository.

Methods for improving efficiency in Apartment Maintenance Management using on Analytic Hierarchy Process (AHP 기법을 이용한 공동주택 유지관리 효율성 제고 방안)

  • Lee, Jeong-Bok
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.4 s.32
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    • pp.69-77
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    • 2006
  • In recent years, there has been more reconstruction and redevelopment of apartments rather than efforts to consider alternative to extend the life time of the apartments. It is essential to try to develop ways to adequately maintain and to use the apartment facilities efficiently in order to preserve earth environment and the limited resource. However, tacking research on the effects obtained through remodelling and maintenance have interfered with the vitalizing of the market. The objective of this study is to propose criterions and methods with which to evaluate adequacy of maintenance management. A survey was performed to investigate important maintenance methods in order to obtain advices that can smoothly progress improve apartment maintenance management. This study applied AHP(Analytical Hierarchy Process) methods for reasonable maintenance in apartment. Through this study, the flow of apartment maintenance market is elevated to reaching the level in advanced nation.