Descriptive study of Korean e-mail discourse

This study is an examination of a corpus of computer mediated Korean discourse (i.e., e-mail), based on a folk-cultural category, nunch’i. Nunch’i is actively involved in linguistic feature use in terms of [+age] and [+distance] of human relationships. Many Koreans think that the world has an inherent hierarchy according to age. This idea has been reflected through nunch’i, a culture-specific system for maintaining harmonious social relationships especially between [+age] and [–age] people. Nunch’i has a function of foresight, in that it is part of the way that people read the situations and the faces of addressers and addressees. Like oral and written language, Korean e-mail discourse shows that when a younger writer communicates with an older recipient, s/he perceives nunch’i and then uses grammatical and lexical forms to communicate deference. The experiment was based on one occasion and three different social relationships, and between one sender and three different receivers. Fifteen Korean participants were asked to send three e-mails: to a senior professor, an equal aged close friend, and a younger aged close friend. Results of the experiment in e-mail language use show that there is a normative honorific system between [+age] and [–age]. However, the results of the experiment did not completely overlap with the findings in the application, which involved real-life e-mail data. The application shows that the normative honorific system can be modified by the level of [+distance] relationship between the addresser and the addressee. Thus, if a younger addresser does not perceive the pressure of nunch’i in a close relationship with an older recipient, the younger addresser does not change his or her language forms honorifically. Therefore, the results of this study argue that Koreans vary their Korean language use in systematic but not always traditional ways

DESCRIPTIVE STUDY OF HONORIFIC USE IN KOREAN EMAIL DISCOURSE

It is a relatively new field that examines how Korean culture affects Korean language use in terms of age difference in a corpus of computer mediated email discourse. The purpose of this descriptive study and experiment is to prove the close relationship between Korean language and culture. This paper shows the descriptive study of Korean culture in relation to language use. Korean culture acknowledges an inherent hierarchy with regard to age, and considers [+age] as relating socially to [+power]. When younger Koreans converse with older ones, they express different morpho-syntactic patterns, which is an age complex. The main task of the experiment was to examine the way through which the age complex is reflected by Korean honorific linguistic system in email discourse. I asked 15 Korean native speakers between the ages of 20 to 25 to write emails expressing an impositive request to [+age (46-50 years old)], [-age (below 25 years old)] and [=age] recipients. The results show significant differences in the use of grammatical features in emails written to [+age] recipients, as compared to emails written to [-age] and [=age] recipients. The implication of the findings is that the cultural values that are attached to age and aging in the Korean society affects Koreans’ language use, which means Korean language and culture are closely intermingled

Case report: Investigation of genetic mutations in a case of schistosomus reflexus in a Holstein dairy cattle fetus in Korea

Schistosomus reflexus (SR) is one of the most common congenital anomalies found in cases of cattle dystocia; this disorder occurs mostly in cattle. Congenital anomalies such as SR are caused by various genetic and environmental factors, but no specific cause has been elucidated for SR. This study reports a case of SR in a Holstein dairy cattle fetus with congenital anomalies in Korea. Grossly, a distinct spine curvature was observed between the thoracic and lumbar vertebrae, accompanied by a consequential malformation from the sacrum to the occipital bone. Furthermore, the thoracic and abdominal organs were exposed. In computed tomography (CT) images, mild and severe kyphoscoliosis was observed in T1~11 and L1~6, respectively. Additionally, vertebral dysplasia was observed in S1~5 and Cd 1~5. To pinpoint the causal genes and mutations, we leveraged a custom 50K Hanwoo SNP-Chip and the Online Mendelian Inheritance in Animals (OMIA) database. As a result, we identified a nonsense mutation in apoptotic protease activating factor 1 (APAF1) within HH1 that was associated with a decrease in conception rate and an increase in abortion in Holstein dairy cattle. The genotype of the SR case was A/A, and most of the 1,142 normal Holstein dairy cattle tested as a control group had the genotype G/G. In addition, the A/A genotype did not exist in the control group. Based on the pathological, genetic, and radiological findings, the congenital abnormalities observed were diagnosed as SR

DESCRIPTIVE STUDY OF HONORIFIC USE IN KOREAN EMAIL DISCOURSE

It is a relatively new field that examines how Korean culture affects Korean language use in terms of age difference in a corpus of computer mediated email discourse. The purpose of this descriptive study and experiment is to prove the close relationship between Korean language and culture. This paper shows the descriptive study of Korean culture in relation to language use. Korean culture acknowledges an inherent hierarchy with regard to age, and considers [+age] as relating socially to [+power]. When younger Koreans converse with older ones, they express different morpho-syntactic patterns, which is an age complex. The main task of the experiment was to examine the way through which the age complex is reflected by Korean honorific linguistic system in email discourse. I asked 15 Korean native speakers between the ages of 20 to 25 to write emails expressing an impositive request to [+age (46-50 years old)], [-age (below 25 years old)] and [=age] recipients. The results show significant differences in the use of grammatical features in emails written to [+age] recipients, as compared to emails written to [-age] and [=age] recipients. The implication of the findings is that the cultural values that are attached to age and aging in the Korean society affects Koreans’ language use, which means Korean language and culture are closely intermingled

Effectiveness of Non-Local Means Algorithm with an Industrial 3 MeV LINAC High-Energy X-ray System for Non-Destructive Testing

Industrial high-energy X-ray imaging systems are widely used for non-destructive testing (NDT) to detect defects in the internal structure of objects. Research on X-ray image noise reduction techniques using image processing has been widely conducted with the aim of improving the detection of defects in objects. In this paper, we propose a non-local means (NLM) denoising algorithm to improve the quality of images obtained using an industrial 3 MeV high-energy X-ray imaging system. We acquired X-ray images using various castings and assessed the performance visually and by obtaining the intensity profile, contrast-to-noise ratio, coefficient of variation, and normalized noise power spectrum. Overall, the quality of images processed by the proposed NLM algorithm is superior to those processed by existing algorithms for the acquired casting images. In conclusion, the NLM denoising algorithm offers an efficient and competitive approach to overcome the noise problem in high-energy X-ray imaging systems, and we expect the accompanying image processing software to facilitate and improve image restoration

Robust Spatiotemporal Estimation of PM Concentrations Using Boosting-Based Ensemble Models

Particulate matter (PM) as an air pollutant is harmful to the human body as well as to the ecosystem. It is crucial to understand the spatiotemporal PM distribution in order to effectively implement reduction methods. However, ground-based air quality monitoring sites are limited in providing reliable concentration values owing to their patchy distribution. Here, we aimed to predict daily PM10 concentrations using boosting algorithms such as gradient boosting machine (GBM), extreme gradient boost (XGB), and light gradient boosting machine (LightGBM). The three models performed well in estimating the spatial contrasts and temporal variability in daily PM10 concentrations. In particular, the LightGBM model outperformed the GBM and XGM models, with an adjusted R2 of 0.84, a root mean squared error of 12.108 μg/m2, a mean absolute error of 8.543 μg/m2, and a mean absolute percentage error of 16%. Despite having high performance, the LightGBM model showed low spatial prediction accuracy near the southwest part of the study area. Additionally, temporal differences were found between the observed and predicted values at high concentrations. These outcomes indicate that such methods can provide intuitive and reliable PM10 concentration values for the management, prevention, and mitigation of air pollution. In the future, performance accuracy could be improved through consideration of different variables related to spatial and seasonal characteristics

Robust Spatiotemporal Estimation of PM Concentrations Using Boosting-Based Ensemble Models

Particulate matter (PM) as an air pollutant is harmful to the human body as well as to the ecosystem. It is crucial to understand the spatiotemporal PM distribution in order to effectively implement reduction methods. However, ground-based air quality monitoring sites are limited in providing reliable concentration values owing to their patchy distribution. Here, we aimed to predict daily PM10 concentrations using boosting algorithms such as gradient boosting machine (GBM), extreme gradient boost (XGB), and light gradient boosting machine (LightGBM). The three models performed well in estimating the spatial contrasts and temporal variability in daily PM10 concentrations. In particular, the LightGBM model outperformed the GBM and XGM models, with an adjusted R2 of 0.84, a root mean squared error of 12.108 μg/m2, a mean absolute error of 8.543 μg/m2, and a mean absolute percentage error of 16%. Despite having high performance, the LightGBM model showed low spatial prediction accuracy near the southwest part of the study area. Additionally, temporal differences were found between the observed and predicted values at high concentrations. These outcomes indicate that such methods can provide intuitive and reliable PM10 concentration values for the management, prevention, and mitigation of air pollution. In the future, performance accuracy could be improved through consideration of different variables related to spatial and seasonal characteristics