• Nuclear Medicine and Molecular Imaging
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• v.42 no.sup1
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• pp.116-120
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• 2008

Prostate cancer is the second leading cause of cancer death of men in western countries and the death related to this disease in Korea is also getting increased. Although anatomic imaging tools such as transrectal US or MRI have been playing a great role in detection of primary prostate lesion, the evaluation of regional lymph node or distant organ metastasis using these modalities is not successful. $^{18}F-FDG-PET$ scan is emerging diagnostic tool for various malignancies. Considering the usual characteristics of prostate cancer such as slow growing and osteoblastic metastasis, the application of FDG PET scan to this disease might be limited. However, in advanced prostate cancer refractory to chemotherapy, FDG PET scan show strong FDG uptake and SUV changes in serial PET scan can be a good indicator of treatment response. Although FDG PET can be useful only in limited cases of prostate cancer, its indication can be widened in future owing to rapid technical improvement and accumulated experiences in this field.

• Journal of Information Science Theory and Practice
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• v.1 no.4
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• pp.12-37
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• 2013

Organizational climate and organization culture can be some of the leading factors in hindering knowledge sharing within the organization. It is generally accepted that successful knowledge management practice, including knowledge sharing, comes as a result of a conducive and knowledge sharing friendly environment. Organizations that promote and reward collective work generate a trustful and a more collaborative learning culture. The perception of fairness in an organization has been considered an important indicator of employee behavior, attitude, and motivation. This study investigates organizational justice perception and its impact on knowledge sharing practices among forensic experts in the Turkish National Police. The study findings revealed that senior officers, who are experts in the field, have the strongest organizational justice perception. Meanwhile, noncommissioned officers or technicians bear positive but comparatively weaker feelings about the existence of justice within the organization. The study argues that those who satisfy their career expectations tend to have a higher organizational justice perception.

• The Journal of Information Systems
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• v.29 no.1
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• pp.289-301
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• 2020

Purpose This study analyzes whether Internet search of cryptocurrency has a causal relationship to return and volatility of cryptocurrency. Design/methodology/approach Google Trend was used as a measure of the level of Internet search, and the parametric tests of Granger causality in the 1st moment and the 2nd moment were adopted as the analysis method. We used Bitcoin's dollar-based price, which is the No. 1 market value among cryptocurrency. Findings The results showed that the Internet search measured by Google Trends has a causal relationship to cryptocurrency in both average and volatility, while there is a difference in causality and its degree according to the search area and category that Google Trend user should set. Because the Granger causality is based on the improvement of prediction, the analysis results of this study indicate that Internet search can be used as a leading indicator in predicting return and volatility of cryptocurrency.

• East Asian Economic Review
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• v.23 no.2
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• pp.203-223
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• 2019

This paper examines the interactions between financial conditions and business cycles in Mongolia, a small open economy, heavily depending on commodity exports. We construct two financial conditions indexes based on the reduced form IS model and the vector autoregression (VAR) model as surveillance tools to quantify the degree of the financial conditions. We find that real short-term interest rate and real effective exchange rate gap get a higher weight in the FCIs. Both business and financial cycles are often more pronounced in Mongolia, and financial condition is dependent of the financial and monetary policies in place. The analysis of the predictive power of the FCIs for business cycles shows that they have predictive information for the near-term economic activities. FCIs are also helpful in signaling inflation turning points.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.914-919
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• 2009

The research investigates for the relationship between the operating performances of the make-ready process and project production performance. To this end, the researchers proposed a metric of PCR (Percentage of Constraint Removal) to measure the make-ready performance. The study measured the production performance in two ways: production planning reliability and progress performance. We hypothesized that how well the make-ready process is performed has an impact on the degree of production performance. The statistical analyses are used to investigate that how operating performance of the make-ready process affects project production performance. The results of the regression analysis support our hypotheses (p<0.25) and correlation coefficients for the relationship between project production performance and make-ready performance are also significant (p<0.05).

• Asia Marketing Journal
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• v.18 no.4
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• pp.51-76
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• 2017

Although much attention has been paid to customer satisfaction (CS) as a leading indicator of firm performance, few studies have investigated the role of CS distribution across individual customers. With 10 years of National Customer Satisfaction Index (NCSI) data in Korea, we examine the relationship between the variance of CS and key corporate performance measures such as revenue, profit, Tobin's q, and stock return. There are three main findings. First, we confirm the findings of previous studies that the average CS for a firm is related to the firm's economic performance. Second, we find a moderating effect of CS variance such that the relationship between the level of CS and firm performance is attenuated by the variance of CS. Finally, the variance of CS is found to directly affect firm performance over and above the CS level effect. More specifically, the variance decreases sales and stock return.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.57-97
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• 2018

Big Data has spread rapidly in various industries since 2010. We analyzed the general characteristics of big data through time series analysis on the initial process of spreading big data and investigated the difference of diffusion characteristics in each industry. By analyzing papers, patents, news data, and Google Trend using Big Data as a keyword, we searched for data corresponding to the leading indicator, and confirmed that trends in news and Google Trend preceded the papers and patents by two years. We used Google Trend to compare the introduction period of domestic, US, Japan, and China and quantify the process of spreading the eight main industries in Korea through news data. Through this study, we present an empirical research method on how the general technology spreads in several industry sectors and we have figured out where the spreading speed difference of big data originated in each industry in Korea. The method presented here can be used to analyze the technology introduced from foreign countries in developing countries because it can be analyzed in diffusion process of other technologies besides big data and corresponds to the diffusion of technology keywords in a specific country. And, on the corporate side, this approach shows what path is effective when it comes to launching and spreading new technologies.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.287-295
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• 2019

The study aims to build a model for evaluating the effectiveness of activities and the effectiveness of financial investments in high-tech industries in Kazakhstan. The development of high-tech industries plays an important role in the economic growth of a country. In this regard, it is relevant to study the effectiveness of financing the most important industry in Kazakhstan. The development of the high-tech sector ensures the efficient functioning of the national innovation system. High-tech enterprises are one of the competitive sectors that allow us to develop and implement leading-edge innovations with the goal of their subsequent commercialization domestically and abroad. The author defines the multicriteria of efficiency in a knowledge-based economy associated with achieving an economic effect with multivariate correlation of results with costs. A multivariate dynamic model, an integral indicator of performance, an integral indicator of cost-effectiveness is proposed. The assessment of the effectiveness of financial costs and performance indicators in all regions of Kazakhstan have the positive dynamics of indicators, as well as a high economic effect. The results of the study can be applied in regional management to adequately assess the effectiveness of high-tech organizations and the effectiveness of financial investments, contribution to ensuring the economic security of the region.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.11
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• pp.4769-4775
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• 2015

Background: Hepatocellular carcinoma (HCC) is the fifth most prevalent cancer and thirdly leading cause of cancer-related death worldwide. The estimated risk of hepatocellular carcinoma is 15 to 20 times as high among persons infected with HCV as it is among those who are not infected, with most of the excess risk limited to those with advanced hepatic fibrosis or cirrhosis. Glypican3 (GPC3) plays a key role in relation to signaling with growth factors, regulating the proliferative activity of cancer cells. Glutamine synthetase (GS) catalyzes the synthesis of glutamine from glutamate and ammonia in the mammalian liver. GS was suggested as a specific marker for tracing cell lineage relationships during hepatocarcinogenesis. In normal liver, GS expression is seen in pericentral hepatocytes, but not by midzonal or periportal hepatocytes. In HCC, strong and diffuse GS expression in seen in tumor cells. Results: Glypican3 immunopositvity was highly specific and sensitive indicator for hepatocellular carcinoma as well as glutamine synthetase which was found to be a sensitive and specific indicator for development of hepatocellular carcinoma when compared to cirrhosis, liver cell dyspalsia and metastatic carcinomas. Statistical analysis revealed a significant association between GPC3 and GS with tumor size (P=0.003, p=0.006, respectively). Diffuse staining significantly associated with large tumor size while, focal and mixed staining was detected more with small tumor size. Studying the relation with tumor grade also revealed significant association between diffuse GPC3 and GS staining with high tumor grade. Diffuse staining was detected in 91.7% and 100% respectively of poorly differentiated specimens and only in 33.3% and 22.2% of well differentiated specimens. Conclusions: While using GPC3 and GS to screen for premalignant hepatic lesions remains controversial, our data suggest that GPC3 and GS may be a reliable diagnostic immunomarkers to distinguish HCC from benign hepatocellular lesions. However, negative immunostaining should not exclude the diagnosis of HCC.

• The Journal of Korean Association of Computer Education
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• v.16 no.1
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• pp.73-80
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• 2013

Government promotes that the strategy of national R&D converts from catch-up R&D type to leading R&D type for the future growth and national competitiveness according to the recent paradigm shift in the research and development. So the many national researches about foundation, source and core technology are actively being made. As a result of these researches, the security has become an important part of success factor in R&D. And so various security diagnosis and evaluation is being conducted about national R&D program. Existing the research security evaluation models are classified domains in terms of security management and created evaluation indicators according to the domains. However the models are inappropriate in case of researchers doing self-diagnosis of research security. This paper set up the domains in aspect of research management and then proposed the evaluation indicator of research security according to the domains. The evaluation indicator model that is suggested can be utilized in self-diagnosis of research security effectively.