Objective: To compare the outcomes of intracytoplasmic sperm injection (ICSI) with fresh and cryopreserved-thawed testicular spermatozoa in patients with azoospermia. Methods: One hundred and nine cycles (66 couples) where ICSI was planned with fresh or cryopreserved-thawed testicular spermatozoa were included in this study; Ninety two cycles (61 couples) with fresh testicular spermatozoa (fresh group) and seventeen cycles (13 couples) with cryopreserved-thawed testicular spermatozoa (cryopreserved-thawed group). We compared ICSI outcomes such as fertilization rate, implantation rate, pregnancy rate and miscarriage rate, which were statistically analyzed using Mann-Whitney U test or Fisher's exact test, where appropriate. Results: In 9 out of the 92 cycles where ICSI was planned with fresh testicular spermatozoa, testicular spermatozoa could not be retrieved. Fertilization rate tended to be higher in the fresh group than in the cryopreserved-thawed group ($58.0{\pm}27.8%$ vs. $45.9{\pm}25.0%$, p=0.076). The number of high quality embryos was significantly higher in the fresh group ($0.9{\pm}1.2$ vs. $0.2{\pm}0.5$, p=0.002). However, there were no significant differences in clinical pregnancy rate, implantation rate and miscarriage rate between the two groups. Conclusion: The results of this study suggest that although the use of cryopreserved-thawed testicular sperm for ICSI in patients with azoospermia may reduce fertilization capacity and embryo quality, it may not affect pregnancy rate, implantation rate and miscarriage rate. If testicular sperm can be obtained before ICSI procedure, the use of cryopreserved-thawed testicular sperm may also avoid unnecessary controlled ovarian hyperstimulation and cancellation of oocyte retrieval when spermatozoa cannot be retrieved as well as damage on testicular function by repeated TESE.
Objective: To evaluate the outcomes of in vitro fertilization and embryo transfer (IVF-ET) in women over 40 years of age. Methods: A total of 170 patients (271 cycles) over 40 years of age who underwent IVF-ET at Seoul Women's Hospital (Incheon, Korea) were analyzed in this study retrospectively. The patients were grouped into the women <44 years old group and the women $\geq$44 years old group. Statistical analysis was performed using Student's t-test and Fisher's exact test as appropriate. Results: An overall clinical pregnancy rate per retrieval was 11% (30/271). Of these, clinical miscarriage rate were 33% (10/30) and the overall delivery rate was 7.4% (20/271) per retrieval, respectively. The women $\geq$44 years old group had significantly higher cancellation rate (13% vs. 25%), lower number of retrieved oocytes (6.17$\times$4.62 vs. 4.13$\times$4.07), decreased number of 2PN (4.83$\times$3.61 vs. 3.46$\times$3.12), and reduced embryos for transfer (3.52$\times$1.72 vs. 2.81$\times$1.83) than the women <44 years old group. We found significantly lower clinical pregnancy rate (13.0% vs. 2.1%) and live birth rate (9.0% vs. 0.0%) in the women $\geq$44 years old group than the women <44 years old group. Conclusion: The present study has shown that IVF outcome is seriously impaired in the women $\geq$44 years old.
Due to the spread of Corona 19 around the world, Infectious Disease Medicine and New Medical Devices such as Diagnostic Agent are being rapidly developed and launched, and for the fast supply and demand of these, each country has eased import regulations or has implemented policies for fast approval(NIDS, 2020). On the other hand, New Developed Medical Devices that are not related to New Infectious Diseases, they are still entering the market through strict licensing and licensing regulations, such as delay and cancellation in the test inspection process, etc. Therefore, This Study specialized in the government-managed laws encountered when New Medical Devices enter the market, derive Factors influencing the Strength of Regulations, analyzes the Strength of Regulations, and proposes a Regulatory Response Framework. The Research Method was conducted by Literature Research, was applied by Failure Mode and Effects Analysis(FMEA) Method, Expert Interview(1st): Idea Collection, Expert Interview(2nd): Validation, and Priority through the Application Process of FMEA Method. A Method of Quantifying the Intensity of Regulation was proposed by multiplying the Impact of the Influencing Factors for each stage of regulation and the Burden Impact for each type of Regulatory Affairs to find the Importance of the Regulatory Factors and multiplying the Severity of the Regulatory Impact. The Implications are that major overseas countries and the Korean government are actively responding with Special Regulatory Policies and Mitigation Policies for fast licensing of New Developed Medical Devices in accordance with Corona 19. It is expected that the direction for improvement of regulations and measures to respond to regulations will be implemented so that a more proactive and preemptive response to the regulatory process of the licensing policy for New Devices can be achieved.
The Cultural Heritage Committee is an advisory committee established under the Cultural Heritage Administration with the aim of carrying out examination and deliberation on preservation, management and use of cultural heritage. The Cultural Heritage Administration is the highest administrative organization in terms of Korean cultural heritage. It was founded to produce and execute policies on cultural heritage, an important task that requires a high level of specialized knowledge, skills and academic expertise. It involves in-depth investigation and consultation of experts in the field of cultural heritage. An organization consisting of distinguished experts, the Cultural Heritage Committee plays an important role in policymaking on cultural heritage of Korea. The Korean government established the Bureau of Cultural Heritage in October 1961, and enacted provisions (as a presidential decree) on the organization on March 27, 1962, according to the Cultural Heritage Act established on January 10 of the same year. The Cultural Heritage Committee was opened as a deliberation committee according to the law, on which currently 90 members serve in 8 subcommittees. The term of office of a committees member is two years. The deliberation of the committee, which covers the entire range of cultural heritage, including their designation and cancellation, is normally concluded by the deliberation and decision of each subcommittee. This study aims to analyze of the survey of the Cultural Heritage Committee as the highest organ for the deliberation of policies on the matters of cultural heritage. The subject of the analysis in this study is a questionnaire survey that was conducted between Oct. 20 and Nov. 29, 2003, of 116 former and current members of the committee.
As a new type of business model in the market competition situation of tour companies, this study has developed to the online form of the travel industry to the business form which is the combination of the electronic commerce function and the mobile service process in the provision of the simple web-site, This study explores the difficulties of change for the development of the travel industry from the point of view that recognition is not a simple marketing strategy diversification means but a change of recognition as a business model for expanding new markets or creating new markets. The factors affecting the choice of online travel agent (OTA) and the factors that influence the choice of online travel agency were analyzed. Were used for the empirical survey. The purpose of this study is to investigate the factors influencing the choice of online travel agents who have experience with or experience using online travel agency (OTA), what factors are important to them, and how they differ in importance when visiting again. The results of this study are as follows: First, there was a significant difference between the first and second visitors of online travel agencies. The results of this study were as follows: Attitude toward resolving complaints, convenience of change and cancellation, delivery of tickets and documents, convenience of complaints, The emphasis should be on establishing and strengthening service environments such as the speed of updating the latest information, the simplicity of the booking procedure, the degree of satisfaction of the past, the ability of employees to handle their work, the safety of various payment methods and settlement, The results of this study are as follows: First, the satisfaction of the online travel agency is influenced by the selection factors of the selected online tour agency, and the A/S such as the convenience of prompt delivery, Environmental factors contributed to satisfaction. It is suggested that the systematic service structure such as customer satisfaction and ease of use is a necessary marketing strategy for survival and development of online travel agencies. It is suggested that the marketing concentration strategy with the first visitors as the target market is effective and this is a part of the marketing strategy for the survival of online travel agencies.
Objectives: The aim of this study was to evaluate the usefulness of Anti-mullerian hormone (AMH) as a predictive marker for ovarian response and cycle outcome in IVF cycles. Methods: From Jan., to Aug., 2007, 111 patients undergoing IVF/ICSI stimulated by short or antagonist protocol were selected. On cycle day 3, basal serum AMH level and FSH level were measured. The correlation between basal serum AMH or FSH, and COH outcome was analyzed and IVF outcome was compared according to the AMH levels. To determine the threshold value of AMH for poor- and hyper-response, ROC curve was analyzed. Results: Serum AMH showed higher correlation coefficient (r=0.792, p<0.001) with the number of retrieved mature oocyte than serum FSH (r=-0.477, p<0.001). According to ovarian response, FSH and AMH leves showed significant differences among poor, normal, and hyperresponder. For predicting poor (${\leq}2$ oocytes) and hyperresponse (${\geq}17$ oocyets), AMH cut-off values were 0.5 ng/ml (the sensitivity 88.9% and the specificity 89.5%) and 2.5 ng/ml (sensitivity 85.7%, specificity 87.0%), respectively. According to the AMH level, patients were divided into 3 groups: low (${\leq}0.60\;ng/ml$), normal ($0.60{\sim}2.60\;ng/ml$), and high AMH (${\geq}2.60\;ng/ml$). The number of retrieved mature oocytes was significantly higher ($2.7{\pm}2.2$, $8.1{\pm}4.8$, $16.5{\pm}5.7$) and total gonadotropin dose was lower ($3530.5{\pm}1251.0$, $2957.1{\pm}1057.6$, and $2219.2{\pm}751.9\;IU$) in high AMH group (p<0.001). There was no significant difference in fertilization rates and pregnancy rates (23.8%, 34.0%, 37.5%) among the groups. Conclusions: Basal serum AMH level correlated better with the number of retrieved mature oocytes than FSH level, suggesting its usefulness for predicting ovarian response. However, IVF outcome was not significantly different according to the AMH levels. Serum AMH level presented good cut-off value for poor- or hyper-responders, therefore it could be useful in prediction of cycle cancellation, gonadotropin dose, and OHSS risk in IVF cycles.
Objectives: The purpose of this study is to investigate the clinical significance of age and basal serum FSH in predicting the outcomes of in vitro fertilization (IVF) in patients with poor-ovarian response. Methods: From January 2000 to December 2004, 85 second IVF cycles of 85 poor-ovarian response patients under the age of 42 with a back-ground of the first IVF cycles at our infertility center and 5 or less oocytes were retrieved and their basal serum FSH levels of 15$\sim$25 mIU/ml were enrolled in this study. Exclusion criteria were patients with a male factor for the etiology of infertility and undergoing genetic diagnosis of embryo such as PGD. Flare-up protocol was used for ovarian stimulation in all cases. Results: When we stratified the study groups by patient's age, the younger age group (age<35, n=35) showed significantly higher implantation rate (19.0% versus 4.0%, p<0.05) and higher ongoing pregnancy rate (100% versus 14.3%, p<0.05) than the older age group (age$\geq$35, n=50). And then, when we stratified the study populations by basal serum FSH level, the lower FSH group (basal serum FSH<20 mIU/ml, n=58) showed significantly higher number of retrieved oocytes (4.6$\pm$0.7 versus 2.2$\pm$0.5, p<0.05) and lower cancellation rate (19.0% versus 55.6%, p<0.05) than higher FSH group (basal serum FSH$\geq$20 mIU/ml, n=27). Conclusions: In conclusion, it was suggested that the patient's age could predict the IVF outcomes in respect to its potency of pregnancy and ongoing pregnancy. Serum basal FSH levels could predict more accurately the ovarian response of cycle, but not clinical outcomes.
Shin, Chang-Hoon;Lee, Ji-Won;Yang, Han-Na;Choi, Il Young
Journal of Intelligence and Information Systems
/
v.18
no.4
/
pp.19-42
/
2012
Consumer consumption patterns are shifting rapidly as buyers migrate from offline markets to e-commerce routes, such as shopping channels on TV and internet shopping malls. In the offline markets consumers go shopping, see the shopping items, and choose from them. Recently consumers tend towards buying at shopping sites free from time and place. However, as e-commerce markets continue to expand, customers are complaining that it is becoming a bigger hassle to shop online. In the online shopping, shoppers have very limited information on the products. The delivered products can be different from what they have wanted. This case results to purchase cancellation. Because these things happen frequently, they are likely to refer to the consumer reviews and companies should be concerned about consumer's voice. E-commerce is a very important marketing tool for suppliers. It can recommend products to customers and connect them directly with suppliers with just a click of a button. The recommender system is being studied in various ways. Some of the more prominent ones include recommendation based on best-seller and demographics, contents filtering, and collaborative filtering. However, these systems all share two weaknesses : they cannot recommend products to consumers on a personal level, and they cannot recommend products to new consumers with no buying history. To fix these problems, we can use the information which has been collected from the questionnaires about their demographics and preference ratings. But, consumers feel these questionnaires are a burden and are unlikely to provide correct information. This study investigates combining collaborative filtering with the centrality of social network analysis. This centrality measure provides the information to infer the preference of new consumers from the shopping history of existing and previous ones. While the past researches had focused on the existing consumers with similar shopping patterns, this study tried to improve the accuracy of recommendation with all shopping information, which included not only similar shopping patterns but also dissimilar ones. Data used in this study, Movie Lens' data, was made by Group Lens research Project Team at University of Minnesota to recommend movies with a collaborative filtering technique. This data was built from the questionnaires of 943 respondents which gave the information on the preference ratings on 1,684 movies. Total data of 100,000 was organized by time, with initial data of 50,000 being existing customers and the latter 50,000 being new customers. The proposed recommender system consists of three systems : [+] group recommender system, [-] group recommender system, and integrated recommender system. [+] group recommender system looks at customers with similar buying patterns as 'neighbors', whereas [-] group recommender system looks at customers with opposite buying patterns as 'contraries'. Integrated recommender system uses both of the aforementioned recommender systems to recommend movies that both recommender systems pick. The study of three systems allows us to find the most suitable recommender system that will optimize accuracy and customer satisfaction. Our analysis showed that integrated recommender system is the best solution among the three systems studied, followed by [-] group recommended system and [+] group recommender system. This result conforms to the intuition that the accuracy of recommendation can be improved using all the relevant information. We provided contour maps and graphs to easily compare the accuracy of each recommender system. Although we saw improvement on accuracy with the integrated recommender system, we must remember that this research is based on static data with no live customers. In other words, consumers did not see the movies actually recommended from the system. Also, this recommendation system may not work well with products other than movies. Thus, it is important to note that recommendation systems need particular calibration for specific product/customer types.
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