• Journal of the Korean Arthroscopy Society
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• v.9 no.1
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• pp.34-39
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• 2005

Partial thickness rotator cuff tears (PTRCTs) are now a well-established clinical entity, yrt there is no consensus in regards to surgical management. Recommended treatment varies widely from simple debridement of the torn tendon to subacromial decompression to excision of the degenerative tendon and repair. Surgery may be performed using an open, arthroscopically assisted (miniopen), or entirely arthroscopic procedure. The advantages and disadvantages of open and arthroscopic procedures may lie in the balance between precision and morbidity. Visualization of both the articular and bursal surfaces is mandatory to determine the level of rotator cuff disease and formulate a treatment strategy. Because these tear often are secondary finding, recognition of the primary pathology is critical. Treatment of the primary problem usually remedies the partial tear. However, when there is significant PTRCT, an arthroscopic or open repair of the diseased tendon will give the most consistent results.

• Clinical and Experimental Pediatrics
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• v.60 no.4
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• pp.118-123
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• 2017

Purpose: Tuberculosis (TB) remains a problem in the community. TB patients usually experience malnutrition, which is characterized by both decreased body weight (BW) and body fat percentage (BFP). Leptin, an important regulator of BW, also plays an important role in cellular immunity, which is integral to defense against Mycobacterium tuberculosis infection. We analyzed the effect of an anti-TB treatment regimen on the leptin level, BW, and BFP of children with TB. Methods: The design of this study was a group interrupted time series. The subjects were children with probable TB according to clinical criteria based on an Indonesian scoring system adopted from the Consensus of Expert Panel. BW; BFP; energy intake; fat and protein intake; and leptin levels before, 2 months after (intensive phase), and 6 months after (continuation phase) anti-TB treatment, were measured. About 40 children, aged 5-14 years, participated in this study. Results: The BW, BFP and leptin level increased from before treatment to after completion of the intensive phase and still showed an increased during the continuation phase: BW 18.65 kg, 19.75 kg, and 20.85 kg; BFP 18.3%, 19.5%, and 20.2%; and leptin level 1.9 mg/dL, 3.07 mg/dL, and 3.4 mg/dL, respectively (P<0.01). Conclusion: Leptin level, BW, and BFP increased throughout the course of anti-TB treatment, compared with pretreatment values. Further research is needed to compare the results with data for healthy children.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.249-273
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• 2004

Finding an optimal solution in MADN[(Multi-Attribute Decision-Making) problems is difficult, when the number of alternatives, or that of attributes is relatively large Most of the existing mathematical approaches arrive at a final solution on the basis of many unrealistic assumptions, without reflecting the decision-maker's preference structure exactly. In this paper we suggest a model that helps us find a group consensus without assessing these parameters in specific cardinal values. Therefore, This research provides a comprehensive Decision Making of the theory and methods applicable to the analysis of decisions that involve risk and multiple criteria attributes. after, The emphasis of the procedure will be on developments from the fields of decisions analysis and utility theory of Taguchi Method. This theoretical development will be illustrated through the discussion of several real-world application and a case study. When the multiple number of decision makers are involved in the decision making procedure, the problem of uncertainties invariably occurs, because of the different views between them. In this paper, New decision making model using Taguchi Method is applied to effectively model the multi-attribute-decision making(MADM) procedure in the uncertainties dominated two area(quantitative and qualitative factors), Quantitative factors evaluation is used Loss Function of Taguchi, qualitative factors evaluation is used 50 ratio by each specialist. thus it can be used for aiding of preferable alternative. as a result, We will be proved efficiency about New decision making model of applied Taguchi Method with Analytical presentation of all the expecting outcomes when a specific strategy or an alternative plan is selected under expecting future environment.

• Korea Journal of Hospital Management
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• v.22 no.3
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• pp.74-87
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• 2017

Purposes: The purpose is to establish the direction of healthcare R&D through private nonprofit organization. Methodology: The data is divided into two groups: 12 physicians and pharmacists, and 16 persons including professors related to university donation, non-profit foundation executives. Each group was subjected to two Delphi surveys. To analyze the validity of the opinion, the content validity ratio and the consensus of experts were verified. Findings: Funding should be invested in 'development research' and 'application research'. The factors that hinder the donation culture are 'donation prevention system such as tax imposition system and rebate double penalty system', 'insufficient motivation of fund raising person', and 'lack of fund specializing specialist'. The fund raising strategy should be centered on a small number of large donors or a balance between large and small donors. The fund raising target should be effective to raise funds for corporate and individual donors. It is necessary to clarify the purpose of the social problem to be solved by the campaign strategy for promoting donation, to announce the validity of the trust and transparency of the institution, and to emphasize the social investment by the private sector. Practical Implications: It is necessary to present directions through private nonprofit organizations for the future development of healthcare R&D. The legal and institutional deficiencies of the domestic nonprofit organization fundraising infrastructure should be improved. In order to create a social investment climate, it is necessary to improve the awareness of donations and develop various donation programs for the private sector.

• Journal of Sasang Constitutional Medicine
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• v.30 no.3
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• pp.74-94
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• 2018

Introduction The case report provides pivotal basis for clinical research and education, however systematically organized guideline for reporting case report was not properly applied and it tackled the development of traditional medicine in Korea. The purpose of this study was to implement guideline for reporting CAse REport(CARE guideline) incorporating unique characteristics of Sasang medicine with the help of examples and explanations. Methods and Results The guideline for reporting CAse REport for Sasang medicine(CARES guideline) including diagnosis of traditional medicine and treatment with acupuncture and medical herbs was suggested, and practical examples explaining details of each CARES items were provided. Discussion and Conclusion This study would provide foundation for consensus-based and common CARE guideline for traditional Korean medicine. And, the CARES guideline would provide clinical platform for developing refined Sasang type differentiation technique using reported biopsychosocial and clinical type-specific features and realistic cases for Problem Based Learning courses as evidence-based education.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.477-482
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• 2020

Currently, suggesting directions for strengthening publicity of social services is thinking in the direction of each person's advantage from the stakeholder's perspective. The position of the service provider and the position of the user shows different opinions on the definition and evaluation of publicity of the city or province as the management entity. Therefore, this study combines opinions on publicity focusing on community service, derives consensus on the definition and evaluation of publicity, and evaluates different indicators or factors that cannot be quantified at the same time. The goal is to solve the problem of publicity by applying the Analytic Hierarchy Process(AHP) as a possible technique. In addition, in order to achieve the research objectives according to the designed frame, an empirical study was conducted by conducting a pairwise comparison questionnaire for experts and users. Through the AHP evaluation model" developed in this study, as a result of measuring the relative satisfaction of major factors, service utilization rate (0.470), facility management (0.210), and other project implementations (0.073) appeared in order. Here, the service utilization rate was evaluated as the most important.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.6
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• pp.1413-1424
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• 2019

Cryptocurrency has limitations to be used as an actual payment method due to the scalability problem of the blockchain consensus protocol, and various off-chain solutions to solve these limitations are being studied. In this paper, we design an efficient off-chain payment channel using one-way hash function and implement the designed payment channel using Ethereum smart contract. In addition, the experiment was conducted to measure and analyze execution time and cost for each method by deploying it in the same environment as the previously implemented plasma MVP. As a result, compared with plasma MVP, the proposed solution was able to reduce the total cumulative time by about 34% and reduce the overall execution cost by about 41%.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.345-353
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• 2010

A general solution in global self-position location of robot is to generate multiple hypothesis in self-position of robot, which is to look for the most positive self-position by evaluating each hypothesis based on features of observed landmark. Markov Localization(ML) or Monte Carlo Localization(MCL) to be the existing typical method is to evaluate all pairs of landmark features and generated hypotheses, it can be said to be an optimal method in sufficiently calculating resources. But calculating quantities was proportional to the number of pairs to evaluate in general, so calculating quantities was piled up in wide environments in the presence of multiple pairs if using these methods. First of all, the positive and promising pairs is located and evaluated to solve this problem in this paper, and the newly locating method to make effective use of calculating time is proposed. As the basic method, it is used both RANSAC(RANdom SAmple Consensus) algorithm and preemption scheme to be efficiency method of RANSAC algorithm. The calculating quantity on each observation of robot can be suppressed below a certain values in the proposed method, and the high location performance can be determined by an experimental on verification.

• Nuclear Engineering and Technology
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• v.35 no.4
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• pp.318-335
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• 2003

Expert judgment is frequently employed in the search for the solution to various engineering and decision-making problems where relevant data is not sufficient or where there is little consensus as to the correct models to apply. When expert judgments are required to solve the underlying problem, our main concern is how to formally derive their technical expertise and their personal degree of familiarity about the related questions. Formal methods for gathering judgments from experts and assessing the effects of the judgments on the results of the analysis have been developed in a variety of ways. The most important interest of such methods is to establish the robustness of an expert's knowledge upon which the elicitation of judgments is made and an effective trace of the elicitation process as possible as one can. While the resultant expert judgments can remain to a large extent substantiated with formal elicitation methods, their applicability however is often limited due to restriction of available resources (e.g., time, budget, and number of qualified experts, etc) as well as a scope of the analysis. For this reason, many engineering and decision-making problems have not always performed with a formal/structured pattern, but rather relied on a pertinent transition of the formal process to the simplified approach. The purpose of this paper is (a) to address some insights into the balanced use of formally structured and simplified approaches for the explicit use of expert judgments under resource constraints and (b) to discuss related decision-theoretic issues.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.1845-1865
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• 2019

Current Internet is designed by lots of service providers with different objects and policies which make the direct deployment of radically new architecture and protocols on Internet nearly impossible without reaching a consensus among almost all of them. Network virtualization is proposed to fend off this ossification of Internet architecture and add diversity to the future Internet. As an important part of network virtualization, virtual network embedding (VNE) problem has received more and more attention. In order to solve the problems of large embedding cost, low acceptance ratio (AR) and environmental adaptability in VNE algorithms, cognitive method is introduced to improve the adaptability to the changing environment and a cognitive virtual network embedding algorithm based on weighted relative entropy (WRE-CVNE) is proposed in this paper. At first, the weighted relative entropy (WRE) method is proposed to select the suitable substrate nodes and paths in VNE. In WRE method, the ranking indicators and their weighting coefficients are selected to calculate the node importance and path importance. It is the basic of the WRE-CVNE. In virtual node embedding stage, the WRE method and breadth first search (BFS) algorithm are both used, and the node proximity is introduced into substrate node ranking to achieve the joint topology awareness. Finally, in virtual link embedding stage, the CPU resource balance degree, bandwidth resource balance degree and path hop counts are taken into account. The path importance is calculated based on the WRE method and the suitable substrate path is selected to reduce the resource fragmentation. Simulation results show that the proposed algorithm can significantly improve AR and the long-term average revenue to cost ratio (LTAR/CR) by adjusting the weighting coefficients in VNE stage according to the network environment. We also analyze the impact of weighting coefficient on the performance of the WRE-CVNE. In addition, the adaptability of the WRE-CVNE is researched in three different scenarios and the effectiveness and efficiency of the WRE-CVNE are demonstrated.