Hsing, Ann W.;Sakoda, Lori;Chen, Jin-Bo;Rashid, Asif;Wang, Bin-Shen;Shen, Ming-Chang;Chen, Eric;Rosenberg, Phillip;Zhang, Mingdong;Andreotti, Gabriella;Welch, Robert;Yeager, Meredith;Fraumeni Jr. Joseph F.;Gao, Yu-Tang;Stephen J. Chanock
Proceedings of the Korean Society of Toxicology Conference
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2006.11a
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pp.32-33
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2006
There is compelling evidence that chronic inflammation predisposes to biliary tract cancer. Previously we found that aspirin use and variants in the PTGS2 gene, both of which are closely linked to inflammation, were associated with biliary tract cancer risk in a population-based study in China. To test the inflammation hypothesis further, we examined the associations of variants in 20 genes involved in the inflammation pathway with risk of biliary tract cancer and stones in a large population-based case-control study in Shanghai, China. We genotyped 56 single nucleotide polymorphisms (SNPs)from 20 inflammation genes in 411 biliary tract cancer cases (237 gallbladder cancers, 127 extrahepatic bile duct cancers, and 47 ampullary cancers), 895 subjects with biliary stones, and 786 population controls. Unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (Cls) for the association of individual SNPs and haplotypes with biliary stones and biliary tract cancer risk. Of the 56 SNPs examined, 20 showed some associations with biliary cancer and stones. Specifically, variants of the IL8, IL8RB, RNASEL, TGF-beta, and TNF-alpha genes were associated with gallstone risk, while variants in the IL1A, IL10, VEGF, and RNASEL genes were associated with gallbladder cancer risk. Adjustment for multiple comparisons did not materially change these results. Of the 10 genes with multiple SNPs, we inferred halotypes; only one haplotype in the IL8RBgene was associated with gallstones. The haplotype frequency was significantly different between bile dict cancer cases and control (p=0.007). A haplotype comprising 3 SNPs in the IL8RB gene (rs2230054, rs1126579, rs1126580) was associated with a 54% increased risk of bile duct stones (95% CI 1.14-2.07, p=0.02), relative to the most frequent haplotype. In summary, common variants in immune-related genes influencing inflammatory responeses were associated with gallstones and biliary tract cancer, lending further support to the role of inflammation in the pathogenesis of biliary stones and biliary tract cancer. Future larger studies with more complete gene coverage are needed to confirm these results.
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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v.27
no.5
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pp.619-628
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2009
LiDAR has capability of rapid data acquisition and provides useful information for reconstructing surface of the Earth. However, Extracting information from LiDAR data is not easy task because LiDAR data consist of irregularly distributed point clouds of 3D coordinates and lack of semantic and visual information. This thesis proposed methods for automatic extraction of buildings and 3D detail modeling using airborne LiDAR data. As for preprocessing, noise and unnecessary data were removed by iterative surface fitting and then classification of ground and non-ground data was performed by analyzing histogram. Footprints of the buildings were extracted by tracing points on the building boundaries. The refined footprints were obtained by regularization based on the building hypothesis. The accuracy of building footprints were evaluated by comparing with 1:1,000 digital vector maps. The horizontal RMSE was 0.56m for test areas. Finally, a method of 3D modeling of roof superstructure was developed. Statistical and geometric information of the LiDAR data on building roof were analyzed to segment data and to determine roof shape. The superstructures on the roof were modeled by 3D analytical functions that were derived by least square method. The accuracy of the 3D modeling was estimated using simulation data. The RMSEs were 0.91m, 1.43m, 1.85m and 1.97m for flat, sloped, arch and dome shapes, respectively. The methods developed in study show that the automation of 3D building modeling process was effectively performed.
Nawaz, Javeria;Arshad, Muhammad Zeeshan;Park, Jin-Su;Shin, Sung-Won;Hong, Sang-Jeen
Proceedings of the Korean Vacuum Society Conference
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2012.02a
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pp.239-240
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2012
With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.
The purpose of this study was to evaluate the effects of personality virtue education program using visual media for college students. This program was run in parallel with "Educational Psychology" lecture from August 30th through December 4th, 2015. The subjects of study were 348 freshmen of nursing department in J college. The methodology of this study was nonequivalent pretest-posttest control group experimental design. The researcher carried out pretest for experimental group and control group both before program execution by KEDI Personality Inventory and repeated the test afterwards to measure the effects of the program. The data analysis was implemented by SPSS 22.0. The ANCOVA was used to verify the hypothesis. The result showed that all personality virtues(self-respect, integrity, consideration communication, responsibility, etiquette, self-control, honesty courage, wisdom, justice, citizenship) scores were improved significantly after the program. In conclusion, virtue-centered personality education can make students realize and internalize the value of virtues and have motivation and will to act, when they empathized with visual media on the various situation and learned repeatedly in integrated curriculum.
The pathogenesis of endometriosis is unknown, but retrograde menstruation is widely accepted as an etiology. Refluxed endometrium from endometriosis patients is more prone to implant and invade peritoneum possibly through the action of extracellular proteolysis. This proteolytic action may involve plasminogen activators and the collagenase system. Plasminogen activators (PAs) and matrix metalloproteinases (MMPs) play a critical role in the breakdown of extracellular matrix components and basement membrane in the processes of implantation and tumor invasion. PAs are inhibited by plasminogen activator inhibitor (PAI) and MMPs activity is inhibited by tissue inhibitor of metalloproteinase (TIMP). To test the hypothesis that lower expression of PAI-1 and TIMP-3 in endometrium from women with endometriosis, we investigated their PAI-1 and TIMP-3 expression by quantitative competitive RT PCR in endometrium from women with and without endometriosis. Endometrial tissues were obtained from 14 patients with severe endometriosis and 14 patients without endometriosis. Total RNA was extracted and reverse transcribed into cDNA, and quantitative competitive PCR (QC PCR) was performed to evaluate PAI-1 and TIMP-3 mRNA expression. Endometrium from patients with endometriosis showed decreased expression of PAI-1 and TIMP-3 mRNA compared to endometrium from control in luteal phase (p<0.05). Our results suggest that endometrium from women with endometriosis expresses lower levels of PAI-1 and TIMP-3 than endometrium from normal women. Endometrium from endometriosis patients may be more invasive and prone to peritoneal implantation than control because of higher PA and MMP enzymatic activity. Thus, increased proteolytic activity may be one of the reasons for the invasive properties of the endometrium resulting in the development of endometriosis.
The purpose of this paper is to explain and identify how services offer-related characteristics of services providers such as service competence, reliability, and responsiveness have an effect on cognitive trust and customization characteristics of services providers has influences on affective trust. And it is to explain and identify how cognitive trust has an effects on affective trust and loyalty, and how affective trust has influence on loyalty in services setting such as apparel services of search attribute, hair services of experience attribute, and dental services of credence attribute. A survey study was conducted to collect the data with consumers who have experience purchase or search on services in apparel services, hair services, and dental services. Analysis of structural equation modeling with AMOS 18 and SPSS win 19.0 was performed to test the research hypothesis. The results of the study are as follows: First, responsiveness characteristics of service providers has an effect on cognitive trust, which in turn influences on affective trust. But there was on effect on customer loyalty by cognitive trust and affective trust in apparel service setting. Second, service competence characteristics and reliability characteristics of service providers have effect on cognitive trust, and customization characteristics of service providers has influences on affective trust, and then both of them, in turn, was effect on customer loyalty in hair service setting. Third, reliability characteristics of service providers has effects on cognitive trust and customization characteristics of service providers has influences on affective trust, and then cognitive trust has effects on customer loyalty, but there was no effects on affective trust by customer loyalty.
In Korea, oysters are used as an ingredient of Kimchi (Korean pickled cabbage) in early winter. Although viral contamination of oysters, including contamination by norovirus, can provoke gastroenteric illness, little is known of the epidemiological relationship to outbreaks. We postulated that Kimchi ripening can reduce the infectivity of norovirus, in order to test this hypothesis, we carried out a model experiment. Since norovirus is currently regarded as non-culturable, feline calicivirus (FCV) was used as a surrogate to examine the activation of norovirus with Kimchi ripening. In commercial well-prepared Kimchi, the infectivity ($TCID_{50}$) of FCV decreased by 2 log every 12 hours and reached the limit of detection after 48 hours during over-aging at $25^{\circ}C$. During storage at $4^{\circ}C$, the infectivity ($TCID_{50}$) of FCV decreased slowly and reached 5.00 $TCID_{50}$ after 48 hours. The low pH appears to affect the infectivity of FCV directly via organic acids produced by ripening during over-aging and storage. In neutralized lab-prepared Kimchi (pH 7.0), the infectivity ($TCID_{50}$) of FCV also decreased and reached the limit of detection after 72 hours at $4^{\circ}C$. This indicates that there are substances beside organic acids in Kimchi that originate from the raw materials and are produced during ripening. Among the raw materials, salt-fermented anchovies and garlic showed high direct antiviral activity. The main factor decreasing the infectivity of FCV in Kimchi was the high acidity caused by organic acids, regardless of the type, produced by ripening. Furthermore, unknown secondary products of microorganisms associated with Kimchi ripening and antiviral materials originating from raw material might contribute to the decreased infectivity of FCV, the surrogate of norovirus.
This study aims at proposing clear direction of tourism policy through analyzing the correlation between tourism resource, tourism system and activation of regional economic. A total of 283 samples were ultimately collected in survey of 300 researchers from the national and public institutes in provinces Chungchong-do and Kyungsang-do in July 2010 alone. SPSS 15.0 and AMOS 6.0 were used to test the model. Analysis showed that the more regional tourism resources have more significant effect on tourism system and tourist-attracting strategy, and that tourism system exerts influence on tourist-attracting strategy. So it was proved that the tourism policy effects meaningfully on vitalization of regional economic, and it was confirmed that the tourism system is more effective on the energization of regional economic than the tourist-attracting strategy. But the hypothesis has been rejected unexpectedly that tourist attractions have consequences for the activation of regional economic. It establishes the fact that it is useless for regional economy regardless of abundant regional tourism resources, if the tourism policy is not concretely in force. Therefore, Korean government must intercept overissue and overlapping investments on tourism development by the local government and induce qualitative growth of tourism sector through upgrading of development guidelines and the criteria for selecting tourism special zone, regional festival and cultural assets, and its continuous assessment and management. And it is desirable to enforce the connected cooperation projects between local governments and the 5+2 great-sphere economic blocs on government-level.
Journal of The Korean Association For Science Education
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v.25
no.2
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pp.122-132
/
2005
Graphing abilities are critical to understand and convey information in science. And then, to what extent are secondary students in science courses able to understand line graphs? To find clues about the students' interpretation processes of the information in science-related line graphs, this study has the following research question: Is there a difference between the levels of complexity of good and poor readers as they use the thinking aloud method for studying cognitive processes? The present study was designed to provide evidence for the hypothesis that good line graph readers use a specific graph interpretation process when reading and interpreting line graphs. With the aid of the thinking aloud method we gained deeper insight into the interpretation processes of good and poor graph readers while verifying verbal statements with respect to line graphs. The high performing students tend to read much more information and more trend-related information than the low performing students. We support the assumption of differential line graph schema existing in the high performing students in conjunction with general graph schema. Also, high performing students tend to think aloud much more metacognitively than low performing students. High performing students think aloud a larger quantity of information from line graphs than low performing students, and more trend-related sentences than value-related sentences from line graphs. The differences of interpretation processes revealed between good and poor graph readers while reading and interpreting line graphs have implications for instructional practice as well as for test development and validation. Teaching students to read and interpret graphs flexibly and skillfully is a particular challenge to anyone seriously concerned with good education for students who live in an technological society.
This article is concerned with exploring labour market transformation in newspaper industry and thereby looking into skill formation and professionalization of journalists. In Korea, according to previous research, newspaper journalist labour market had been characterized by a low inter-firm mobility of workers and patterns of long-term employment and firm-based skill training. However, over the past few years, as new product strategies of newspaper firms has changed due to management crisis employers pull back from the responsibilities of investment on skill training and securing job stability for journalists. However, in spite of overall weakened firm-based skill formation systems within the market, there still seems to be long way to build alternative systems of skill developments for them. As a result, it will be argued that, in the absence of manifest labor market institutions such as apprenticeships or skill certification system, which are assumed to traditionally certify workers' professionalization, occupational identity and professionality of newspaper journalist labour market will be weakened. Labor market data from interviews with journalists in the newspaper industry are used in order to test this hypothesis.
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