• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2893-2900
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• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4591-4594
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• 2013

Breast cancer is the most common cancer among Malaysian women. Other than hospital-based results, there are no documented population-based survival rates of Malaysian women for breast cancers. This populationbased retrospective cohort study was therefore conducted. Data were obtained from Health Informatics Centre, Ministry of Health Malaysia, National Cancer Registry and National Registration Department for the period from $1^{st}$ January 2000 to $31^{st}$ December 2005. Cases were captured by ICD-10 and linked to death certificates to identify the status. Only complete data were analysed. Survival time was calculated from the estimated date of diagnosis to the date of death or date of loss to follow-up. Observed survival rates were estimated by Kaplan-Meier method using SPSS Statistical Software version 17. A total of 10,230 complete data sets were analysed. The mean age at diagnosis was 50.6 years old. The overall 5-year survival rate was 49% with median survival time of 68.1 months. Indian women had a higher survival rate of 54% compared to Chinese women (49%) and Malays (45%). The overall 5-year survival rate of breast cancer patient among Malaysian women was still low for the cohort of 2000 to 2005 as compared to survival rates in developed nations. Therefore, it is necessary to enhance the strategies for early detection and intervention.

• SUVANNABHUMI
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• v.15 no.2
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• pp.187-213
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• 2023

As migrants develop businesses abroad, entrepreneurship needs specific strategies due to some barriers when establishing and doing businesses. This paper examines the kinds of problems that have been faced in Indonesian migrant entrepreneurships in Taiwan and how the entrepreneurs cope with the difficulties. They use structural and cultural strategies for survival, seize the opportunities for self-development, and develop future careers. Research result shows that the limitations of Indonesian entrepreneurships in Taiwan are related to institutional issues, migrant status, business regulations, resource-providing institutions, language barriers, competition among migrants and locals, and capital. Hence, migrant entrepreneurs must conduct strategic actions to continue their businesses by developing innovations to grow and survive. Some measures include changing from offline to online marketing especially when the COVID-19 pandemic hit, product diversification using migrants and local people's assistance and networks, and setting competitive prices. This paper is based on qualitative research. The data were obtained through interviews in East Java-Indonesia and in Taiwan in 2022. The data were analysed using the descriptive analysis with sociological perspectives.

• Korean Journal of Child Studies
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• v.30 no.5
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• pp.41-55
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• 2009

This study explored the meaning of beginning teachers' first-year experience in an eco child educare center. Participants were 4 teachers at survival stages of teacher development; they had had the same preservice experience. Data were collected by semi-structured in-depth interviews, participant observation, researcher's field notes, and document collection. Five themes emerged as first year teachers' struggles and strategies for survival : (1) caring for children's daily lives vs. responsibility for formal education, (2) planned lessons vs. ease in teaching, (3) agreement or disagreement on philosophy of running the education program, (4) paradox of teacher empowerment, (5) overcoming struggle through voluntary peer supervision. These results indicated that beginning teacher' experiences at the survival stage varied by contextual and personal factors.

• Food Science and Biotechnology
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• v.18 no.1
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• pp.137-142
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• 2009

One of the most important aspects of conducting this microbial risk assessment (MRA) is determining the model in microbial behaviors in food systems. However, to fully these modeling, large expenditures or newly laboratory experiments will be spent to do it. To overcome these problems, it has to be considered to develop the new strategies that can be used data in the published literatures. This study is to show whether or not the data set from the published experimental data has more value for modeling for MRA. To illustrate this suggestion, as example of data set, 4 published Salmonella survival in Cheddar cheese reports were used. Finally, using the GInaFiT tool, survival was modeled by nonlinear polynomial regression model describing the effect of temperature on Weibull model parameters. This model used data in the literatures is useful in describing behavior of Salmonella during different time and temperature conditions of cheese ripening.

• International Journal of Costume and Fashion
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• v.5 no.1
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• pp.90-95
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• 2005

The purpose of this study is to analyze Korea's fashion industry and find out the ways to settle recent crisis of the field. This study considered the environments of domestic or foreign fashion industry, then tried to find efforts to become one of the world's top companies and products.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.3
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• pp.115-122
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• 2022

As cable TV, which has been leading the paid broadcasting market, has given the lead to IPTV, which has huge communication capital, its competitiveness is gradually weakening. This study examines the operation status of local cable TV and seeks ways to strengthen competitiveness for survival. To this end, we conducted data analysis such as related statistics, broadcasting industry survey reports, IPTV growth reports, CMB management indicators, paid broadcasting literature data, marketing reports, industry success stories, and marketing mix and SWOT analysis. As a result, four strategies for strengthening the survival competitiveness of local cable TV, namely joint purchase apartment marketing strategy, influencer marketing strategy, relationship marketing strategy, and digital marketing strategy were derived. Therefore, the results of this study can contribute to the improvement of the competitiveness of local cable TV, which has been with local residents through close content, and can be used as basic data for establishing marketing strategies for local cable TV in the future.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.883-886
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• 2014

Background: Prostate cancer is the second leading cause of cancer death in men worldwide. Several factors such as availability of screening tests, and dietary, other lifestyle, environmental and genetic influences contribute to worldwide disparities in prostate cancer incidence and mortality rates. Our aims were to investigate patient characteristics at the time of diagnosis, common treatment strategies employed and survival in an Iranian male population with prostate cancer. Materials and Methods: Archives of Pathology Departments of five referral centers affiliated with the School of Medicine of Shahid Sadoughi University in Yazd province were reviewed. Paraffin-embedded blocks were reviewed by two independent pathologists to confirm the diagnosis. The latest modification of the Gleason Scoring System was adopted to determine pathological grading. Following pathological evaluation, patients were contacted via telephone to acquire information regarding their current status. Results: Pathology blocks were available for 113 patients. However, upon phone contacts, we were unable to determine the survival status in 23 patients (response rate=83%). Therefore, 90 patients were enrolled in the final analysis. The median follow-up time was 6.0 years (ranging from 0.3 to 8.8 years). There were 30 death attributed to prostate cancer in the study group. Kaplan-Meier analysis revealed that patient age at the time of diagnosis was a significant predictor of survival. Another significant predictor of poorer survival was higher tumor grade. Conclusions: Our observations indicate that age and pathological grade can negatively affect survival of individuals with prostate cancer in Iran.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.17-20
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• 2006

Inside the global management environment that is going through sudden changes, businesses are concentrating on putting in much hard work to establish the most competitive management strategy for its survival. As a executing tool and following the strategy establishment, BSC is being introduced and used by many businesses and public institutions, but instead of being used as a tool with the proper purpose of executing strategies, in reality, it is mainly being used to measure and evaluate outcomes. Of the several reasons why this is so, one important issue and its fundamental cause is that although BSC had been developed as a strategy executing tool, it is diffcult to understand the degree of execution of strategies because the overall measurement of the KPI includes all the strategic and operational parts. Through case study, this article acts on presenting the methodology of measuring the degree of execution of strategies that apply the BSC and PM frameworks.

• Biomolecules & Therapeutics
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• v.19 no.4
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• pp.398-410
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• 2011

Over the past few decades, our understanding of the epidemiology and immunopathogenesis of Hodgkin lymphoma (HL) has made enormous advances. Consequently, the treatment of HL has changed significantly, rendering this disease of the most curable human cancers. To date, about 80% of patients achieve long-term disease-free survival. However, therapeutic challenges still remain, particularly regarding the salvage strategies for relapsed and refractory disease, which need further identification of better prognostic markers and novel therapeutic schemes. Although the precise molecular mechanism by which Epstein-Barr virus (EBV) contributes to the generation of malignant cells present in HL still remains unknown, current increasing data on the role of EBV in the pathobiology of HL have encouraged people to start developing novel and specific therapeutic strategies for EBV-associated HL. This review will provide an overview of therapeutic approaches for acute EBV infection and the classical form of HL (cHL), especially focusing on EBV-associated HL cases.