• The Korean Journal of Food & Health Convergence
• /
• v.8 no.5
• /
• pp.21-28
• /
• 2022

Ginseng is described as the "King of all herbs, "Man-root" or "Root of heaven" and regarded as the most powerful herbal remedy, particularly grown in Korea, China, Japan, Vietnam, and North America. It has been in existence for a long time. The most demanded herbal cure, Ginseng, principally the root, has long been employed in traditional Asian medicine. The extent of availability of bioactive combinations and their impact on the body differs between American and Asian ginseng. Asian ginseng, also known as Panax ginseng, has a more calming influence and is more advantageous than American ginseng, such as Panax quinquefolius. The pharmaceutical aspect of development and extraction with diverse morphological properties is examined. Saponins, glycosides, carbohydrates, polyacetylenes, amino acids, vitamins, volatile oil, enzymes are all present in the Phyto-content of Ginseng. Ginsenosides are saponins that are constituents of the triterpenoid dammarane and have anticancer, anti-cardiovascular, anti-microbial, anti-obesity, anti-inflammatory, and antioxidant properties. Ginseng, in particular, has the possibility to help with microbial invasion, inflammatory processes, oxidative stress, and diabetes. It developed nanoparticles and nanocomposite film technologies as novel drug delivery platforms for cancer, inflammation, and neurological illnesses. Furthermore, it offers a range of applications that will be vital for future growth.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.7
• /
• pp.219-229
• /
• 2022

This study aims to analyze the economies of scale of the cottage industry for coconut sugar production in Banyumas, Indonesia. This study applies a survey method to coconut sugar craftsmen. Data analysis was performed by regression analysis based on the Cobb-Douglas production function approach. The findings indicated that decreasing returns to scale was a problem for the domestic production of coconut sugar. These findings show that the production of coconut sugar is not very productive. Labor and financial capital inputs have a significant positive share but the resulting increase in output is less proportional than the increase in the two inputs. Social capital, experience, and education do not affect industrial performance. To increase input productivity and production efficiency, it is necessary to apply more effective production techniques and technologies to produce quality products so that the selling price can be higher. Additionally, it is required to enhance the sap's quality through its extraction methods and the regrowth of high-yielding coconut tree varieties. From the institutional aspect, the development of this industry requires stronger partnerships with related parties such as local governments, exporting companies, cooperatives, and universities through research and development.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.4
• /
• pp.142-151
• /
• 2023

Sentiment analysis is a method used to comprehend feelings, opinions, and attitudes in text, and it is essential for evaluating consumer feedback and social media posts. However, creating sentiment dictionaries, which are necessary for this analysis, is complex and time-consuming because people express their emotions differently depending on the context and domain. In this study, we propose a new method for simplifying this procedure. We utilize syntax analysis of the Korean language to identify and extract sentiment words based on the Reason-Sentiment Pattern, which distinguishes between words expressing feelings and words explaining why those feelings are expressed, making it applicable in various contexts and domains. We also define sentiment words as those with clear polarity, even when used independently and exclude words whose polarity varies with context and domain. This approach enables the extraction of explicit sentiment expressions, enhancing the accuracy of sentiment analysis at the attribute level. Our methodology, validated using Korean cosmetics review datasets from Korean online shopping malls, demonstrates how a sentiment dictionary focused solely on clear polarity words can provide valuable insights for product planners. Understanding the polarity and reasons behind specific attributes enables improvement of product weaknesses and emphasis on strengths. This approach not only reduces dependency on extensive sentiment dictionaries but also offers high accuracy and applicability across various domains.

• Smart Media Journal
• /
• v.13 no.3
• /
• pp.53-61
• /
• 2024

This paper presents a novel M-shaped encoder-decoder architecture for skin lesion segmentation, achieving better performance than existing approaches. The proposed architecture utilizes the left and right legs to enable multi-scale feature extraction and is further enhanced by integrating an attention module within the skip connection. The image is partitioned into four distinct patches, facilitating enhanced processing within the encoder-decoder framework. A pivotal aspect of the proposed method is to focus more on critical image features through an attention mechanism, leading to refined segmentation. Experimental results highlight the effectiveness of the proposed approach, demonstrating superior accuracy, precision, and Jaccard Index compared to existing methods

• Journal of dental hygiene science
• /
• v.11 no.3
• /
• pp.251-255
• /
• 2011

Objectives One aspect of undesirable outcomes in orthodontic treatment includes excessive resorption of dental roots with mechanotherapy. The purpose of this study was to examine the relationship between treatment duration, adult and adolescent, gender, extraction and non-extraction root resorption after orthodontic treatment. Methods The subjects consisted of 140 orthodontic patients(adult : 70, adolescent : 70) who treated by standard edgewise technique at the three orthodontic hospital and clinic in seoul. Pre-treatment and post-treatment periapical radiographs were examined. The amount of root resorption was assessed for six anterior teeth according to criteria modified from Lupi et al root resorption score. Results Treatment duration was 24.7 months in the adult group and 33.5 months in the adolescents group. Between adult and adolescents group were significantly difference of mean of root resorption score(p<0.05). Female group and extraction group usually had higher prevalence of root resorption, but were not significant differences between the each groups(p>0.05). Conclusions When viewing these results, a lot of root resorption in adult patients appears, especially the maxillary central incisor, lateral incisor root resorption during orthodontic treatment occurs, so be careful and do more research to be done is suggested.

• Analytical Science and Technology
• /
• v.10 no.2
• /
• pp.91-104
• /
• 1997

Scutellariae radix has been used on the control of body fever as oriental medicine for thousand years. Analytical aspect for the main components of Scutellariae radix was set up improving sensitivity and resolution. The analysis of 3 different flavonoids present in Scutellariae radix-baicalin, baicalein, wogonin-was conducted by means of high performance liquid chromatography with ODS reverse phase column in conjunction with a Photo Diode Array UV detector(280nm) at $40^{\circ}C$. Mobile phase was carried out at 1mL/min, composed of acetonitrile and 0.1M phosphoric acid in the form of a gradient method. Under these circumstances the retention time for baicalin, baicalein, wogonin was 7.65, 11.65 and 14.12 minutes respectively. As a result for the efficiency on extraction of active ingredients with proposed analytical process according to it's growing districts, Sunchang in Junbuk for baicalin and Bulkyo in, Junnam for bicalein and wogonin have shown the best results. Even the extraction at room temperature was satisfactory. Among acids, 0.1M acetic acid revealed the best achievements. The mixture of acetonitrile and 0.2M phosphoric acid(75:25) has been shown the best efficiency as well as stability for the extraction of active ingredients.

• Journal of Intelligence and Information Systems
• /
• v.25 no.1
• /
• pp.43-61
• /
• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.

• Tuberculosis and Respiratory Diseases
• /
• v.40 no.1
• /
• pp.43-51
• /
• 1993

Background: The polymerase chain reaction (PCR) is a very sensitive method for the detecting of mycobacterial DNA. There are many reports revealing the efficacy of PCR for the diagnosis of M. tuberculosis, but there are many different methods for DNA extraction from Mycobacterium tuberculosis. Bead beater method is a very useful method for DNA extraction from clinical spectimens, but its procedures are relatively complicated and time-consuming. So we studied other methods for the DNA extraction from Mycobacterium tuberculosis $H_{37}Rv$ and some clinical specimens (5 smear positive sputa and 5 smear negative CSF). Method: We extracted the mycobacterial DNA with 6 different methods from H37Rv strain and clinical specimens. The methods included SDS-microwave oven method, NaOH lysis method, Triton X-100-Proteinase K method, Lysis buffer method, SDS-proteinase K method and bead beater method. The target DNA was 123bp of IS6110 and was detected by examination of ethidium bromide-stained agarose gels. Results: Among 6 methods, SDS-proteinase K method, bead beater method, lysis buffer method and triton X-100-proteinase K method were excellent, but SDS-proteinase K method was the best method in the aspect of simplicity and cost-effectiveness. Conclusion: We suggest that SDS-porteinase K method is a simple and convinient method and might be the best method for the extraction of mycobacterial DNA.

• The Journal of the Korean dental association
• /
• v.50 no.9
• /
• pp.566-573
• /
• 2012

Purpose : This study evaluated the impact of the presence and aspect of mandibular third molars to the mandible angle fracture or condyle fractures in Korean. Materials and Methods : A retrospective study was designed for patients attending the division of Oral and Maxillofacial Surgery, Kang-dong sacred heart hospital for treatment of mandibular fracture from January 2006 to September 2010. The primary variable was the presence of mandibular third molar and the secondary variable was the aspects of third molar impaction. Mandibular third molars were classified by the impaction depth and the available space as Pell & Gregory system. Outcome variables were the presence of mandibular angle fracture or condyle fracture. Also the source of trauma, age, sex were studied. Hospital charts, radiographs were used for study. Statistic analysis was done with descriptive statistics, the X2-test, linear-by-linear association. P value under 0.05 was considered significant statistically. Results : The number of involved patients was 86. The ratio of male to female patients was about 9:1 for angle fracture and 7:3 for condyle fracture. The most common source of trauma was assault for angle fracture and fall down for condyle fracture. The presence of mandibular third molar increased frequency of angle fracture and decreased condyle fracture with larger impaction depth. But available space of mandibular third molar did not show high association with angle or condyle fractures. Conclusion: Preventive extraction of mandibular third molar is recommended for patients with high risk of angle fracture. Male patients at their third decade or martial artists, police officer could be the case. But it is not recommended for patients with low risk of angle fracture and high risk of condyle fracture relatively. Elder female patients without any symptom on their third molar could be the case.

• Journal of Service Research and Studies
• /
• v.11 no.1
• /
• pp.45-58
• /
• 2021

Requirements engineering can be seen as proceeding with various processes and activities such as extraction, analysis, specification, management, and verification without temporal and spatial constraints in the development environment of information systems that are becoming large and decentralized. Developing requirements well and conducting continuous evaluation and management is the shortcut to success in project management, and it is recognized as a very important matter in relation to requirements in the information system audit. When we conduct information system audit and conducting projects subject to audit, we need to improve the required engineering aspect. Therefore, this study derives inspection items suitable for the target project by referring to the audit inspection manual and audit inspection guide when conducting the current audit, and relates to the required engineering aspect among the contents of the inspection guide for each business type that is the basis for deriving the inspection items were derived for each audit point/audit area for the project management and quality assurance project type corresponding to the inspection items. The suitability of the extracted occupation items was verified through a questionnaire survey by experts.