• Journal of the Korean Applied Science and Technology
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• v.40 no.5
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• pp.1163-1175
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• 2023

Cholesterol is prone to oxidation, which results in the formation of cholesterol oxidation products (COPs). This occurs because it is a monounsaturated lipid with a double bond on C-5 position. Cholesterol in foods is mostly non-enzymatically oxidized by reactive oxygen species (ROS)-mediated auto-oxidative reaction. The COPs are found in many common foods of animal-origin and are formed during their manufacture process. The formation of COPs is mainly related to the temperature and the heating time the food is processed, storage condition, light exposure and level of activator present such as free radical. The level of COPs in processed foods could reach up to 1-10 % of the total cholesterol depending on the foods. The most predominant COPs in foods including meat, eggs, dairy products as well as other foods of animal origin were 7-ketocholesterol, 7 α-hydroxycholesterol (7α-OH), 7β-hydroxycholesterol (7β-OH), 5,6α-epoxycholesterol (5,6α-EP), 5,6β-epoxycholesterol (5,6β-EP), 25-hydoxycholesterol (25-OH), 20-hydroxycholesterol (20-OH) and cholestanetriol (triol). They are mainly formed non-enzymatically by cholesterol autoxidation. The COPs are known to be potentially more hazardous to human health than pure cholesterol. The procedure to block cholesterol oxidation in foods should be similar to that of lipid oxidation inhibition since both cholesterol and lipid oxidation go through the same free radical mechanism. The formation of COPs in foods can be stopped by decreasing heating time and temperature, controlling storage condition as well as adding antioxidants into food products. This review aims to present, discuss and respond to articles and studies published on the topics of the formation and inhibition of COPs in foods and key factors that might affect cholesterol oxidation. This review may be used as a basic guide to control the formation of COPs in the food industry.

• Herbal Formula Science
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• v.31 no.4
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• pp.389-413
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• 2023

Objectives : This study aimed to review the current trends in experimental studies on the use of natural products for treatment of gastroesophageal reflux disease (GERD). Methods : Experimental studies assessing the efficacy of natural products against GERD were searched on PubMed. Articles were selected based on predefined inclusion and exclusion criteria and then analyzed for experimental methods, interventions, and result analysis techniques. Results : A total 37 studies were included in this review. Predominantly, in vivo experiments were conducted to induce GERD through surgery, involving the ligation of the pylorus and the transitional junction between the corpus and the forestomach using 7-week-old male Sprague-Dawley rats. The acute induction model, sacrificing animals after a single administration following GERD induction, was mainly used.The utilization of cell experiments was relatively infrequent, with a focus on assessing antioxidant and anti-inflammatory effects via the treatment of the RAW 264.7 cell line with lipopolysaccharides treatment. Glycyrrhizae Radix et Rhizoma, Pinelliae Tuber, Ginseng Radix and Zingiberis Rhizoma were used as single ingredients, and herbal formula, STW-5 (iberogast), Rikkunshito (六君子湯), Banhasasim-tang (半夏瀉心湯), and Hewei Jiangni granule (和胃降逆湯) were used. Outcome analysis methods encompassed Macroscopic evaluation, esophageal function assessment, blood biomarker analysis, histological examination, protein analysis, gene expression analysis, and gastric juice analysis. Proton pump inhibitors were predominantly employed as positive controls. Conclusions : This study revealed the current trends in non-clinical research evaluating natural products for GERD. Based on the results of this study, we expect that non-clinical research on clinically effective natural products will be revitalized.

• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.65-87
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• 2017

We propose a method to analyze the user reviews and ratings of the products in the online shopping mall and automatically extracts the features of the products to determine the characteristics of a product. By judging whether a rating is given by a specific feature of a product, our method distributes the score to each feature. Conventional methods force users to wastes time reading overflowing number of reviews and ratings to decide whether to buy the product or not. Moreover, it is difficult to grasp the merits and demerits of the product, because of the way reviews and ratings are provided. It is structured in a way that it is impossible to decide which rating is given to the which characteristics of the product. Therefore, in this paper, to resolve this problem, we propose a method to automatically extract the feature of the product from the user review and distribute the score to appropriate characteristics of the product by calculating the rating of each feature from the overall rating. proposed method collects product reviews and ratings, conducts morphological analysis, and extracts features and emotional words of the products. In addition, a method for determining the polarity of a sentence in which the feature appears is given a weight value for each feature. results of the experiment and the questionnaires comparing the existing methods show the usefulness of the proposed method. We also validates the results by comparing the analysis conducted by the product review experts.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.15-28
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• 2022

Due to recent expansion of online market such as clothing, utilizing customer review has become a major marketing measure. User review has been used as a tool of analyzing sentiment of customers. Sentiment analysis can be largely classified with machine learning-based and lexicon-based method. Machine learning-based method is a learning classification model referring review and labels. As research of sentiment analysis has been developed, multi-modal models learned by images and video data in reviews has been studied. Characteristics of words in reviews are differentiated depending on products' and customers' categories. In this paper, sentiment is analyzed via considering review data and metadata of products and users. Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Self Attention-based Multi-head Attention models and Bidirectional Encoder Representation from Transformer (BERT) are used in this study. Same Multi-Layer Perceptron (MLP) model is used upon every products information. This paper suggests a multi-modal sentiment analysis model that simultaneously considers user reviews and product meta-information.

• The Journal of the Korean life insurance medical association
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• v.26
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• pp.31-39
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• 2007

Background and main issue: In the Korean insurance market, an outstanding issue is the decrease of margin of risk ratio. This affects the solvency and profitability of insurance companies. Insurance medicine, which has been developed in Western countries, is so-called medical risk selection or medical underwriting. Medical risk selection is based on clinical follow-up study and mortality analysis methodology. Unfortunately, there have been few clinical follow-up studies, and no intercompany disease analysis system is available in the Korean insurance market. In practice, we use underwriting guidelines, which were developed by some global reinsurance companies. However, these guidelines were developed under clinical follow-up studies performed abroad. So, we cannot rule out underestimation of excess mortality factors such as mortality ratio, excess death rate, and life expectancy. It is necessary to perform medical assessment in claims administration. Comparing the insured's statement by medical records with products' benefit according to this procedure, we can make sound claim decisions and participate in the role of sound underwriting. We can call this scientific procedure as the verification of medical claims review. Another area of medical claims review is medical counsel for claims staff. Result: There is another insurance medicine in addition to medical risk selection. Independent medical assessment by medical records of insured is medical claims review. Medical claims review is composed of verification and counsel.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.151-161
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• 2016

In the era of the Web 2.0, characterized by the openness, sharing and participation, it is easy for internet users to produce and share the data. The amount of the unstructured data which occupies most of the digital world's data has increased exponentially. One of the kinds of the unstructured data called personal online product reviews is necessary for both the company that produces those products and the potential customers who are interested in those products. In order to extract useful information from lots of scattered review data, the process of collecting data, storing, preprocessing, analyzing, and drawing a conclusion is needed. Therefore we introduce the text-mining methodology for applying the natural language process technology to the text format data like product review in order to carry out extracting structured data by using R programming. Also, we introduce the data-mining to derive the purpose-specific customized information from the structured review information drawn by the text-mining.

• Korean Journal of Clinical Pharmacy
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• v.20 no.3
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• pp.213-220
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• 2010

Therapeutic duplication (TD) is a serious problem that frequently occurring primarily in the ambulatory setting in Korea. Implementation of concurrent drug utilization review (DUR) is a promising way to reduce inappropriate prescription and dispensing, and improve patient safety. This study was aimed to develop the process of DUR module of TD. Sixty-five drug ingredients classified into the drug category of the antipyretic, analgesic, and anti-inflammatory drug approved in Korea (The KFDA-dess nated classification codes of 114 or 264) were reviewed for this purpose. The drug ingredients (and products) were reclassified based on WHO's Anatomical, Therapeutic and Chemical (ATC) classification system. The clinical practice guidelines, textbooks and product labels on therapeutic uses of these drugs in Korea and several fores n countries were reviewed. If the drugs were categorized into the same therapeutically duplicable class, they were defined not to be used concurrently because the concurrent use was "therapeutically duplicated (unnecessary or even harmful)". Among the studied drug products, the following 5 drug classes were considto beas "therapeutic duplication": (1), on-t tooid DURnti-inflammatory drugs (NSAIDs, including s Dicylates), (2),Anilidts, (3),Opioids, (4) Ergot Dk Doids and (5) 5-$HT_1$ receptor agonot s. Therefore, concurrent prescribing or dispensing of more than 2 drug ingredients any in the above same classes should be considered as TD and needed to be warrant for careful review by pharmacists before dispensing.

• Journal of Gastric Cancer
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• v.21 no.4
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• pp.403-417
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• 2021

Purpose: Owing to differences in the general characteristics of gastric cancer (GC) according to histological type, the association of GC risk factors, such as diet, may also differ depending on the histological type. We investigated the associations between individual and combined intake of soy products, vegetables, and dairy products and GC mortality by following up cases of death among Korean GC cases and whether these associations differ according to the histological type. Materials and Methods: A total of 508 GC cases were enrolled from two hospitals between 2002 and 2006. Their survival or death was prospectively followed up until December 31, 2016, through a review of medical records and telephonic surveys. Finally, 300 GC cases classified as intestinal- or diffuse-type GC cases were included. The median follow-up period was 7.1 years. Results: In the fully adjusted model, a high intake of soy products (hazard ratio [HR], 0.43; 95% confidence interval [CI], 0.19-0.96) and the combination of soy products and vegetables (HR, 0.34; 95% CI, 0.12-0.96) or soy products and dairy products (HR, 0.37; 95% CI, 0.14-0.98) decreased the mortality from intestinal-type GC. In particular, patients consuming various potentially protective foods (HR, 0.23; 95% CI, 0.06-0.83) showed a highly significant association with a lower mortality from intestinal-type GC. However, no significant association was found with diffuse-type GC. Conclusions: High intake of potentially protective foods, including soy products, vegetables, and dairy products, may help increase survival in intestinal-type GC.

• Journal of Environmental Health Sciences
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• v.48 no.1
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• pp.36-43
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• 2022

Background: Preservatives are used to prevent product deterioration in modeling clay. Parabens, a representative preservative, have been found to be endocrine disruptors and cause skin irritation and allergic reactions. Isothiazolinone preservatives can be irritating to the skin, respiratory tract, and eyes. Thorough investigation and regulation of clay are necessary because clay is marketed to children, who are more sensitive to the toxic effect of chemicals. Objectives: In this study, the presence of 16 preservatives was analyzed in modeling clay and the results were compared with current standards. Methods: A total of 200 samples were collected from 28 children's clay products sold in South Korea (13 from Korea and 15 imported from overseas). Twelve preservatives, such as parabens, were analyzed using high-performance liquid chromatography (HPLC). Isothiazolinone preservatives (chloromethylisothiazolinone; CMIT, methylisothiazolinone; MIT, octylisothiazolinone; OIT, and benzisothiazolinone; BIT) were analyzed using ultra performance liquid chromatography-tandem mass spectrometery (UPLC-MS/MS). Results: Dehydroacetic acid (DHA) was detected the most in the clays at 51.50% (103 cases) detection; 38 cases (median 190.42 ㎍/g) in Korean products and 65 cases (median 169.62 ㎍/g) in Chinese products. CMIT, which is prohibited in Korea, was detected in 14 (median 16.28 ㎍/g) Chinese products. OIT, which has a chemical structure similar to CMIT was found in 28 (median 68.38 ㎍/g) samples in Korean products. Conclusions: The use of CMIT and MIT in children's products is prohibited in Korea and the European Union (EU). The detection of CMIT in Chinese clay products suggests that management is necessary for imported products. It is necessary to review the safety and regulatory status for OIT because OIT was used as a substitute for CMIT and MIT in Korean products.

• International Commerce and Information Review
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• v.12 no.2
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• pp.357-381
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• 2010

The purpose of this paper is to investigate the effects of consumer's preferences for foreign products and extrinsic cues such as brand, country of origin, and corporate reputation on the consumer's evaluation which includes the construct of perceived quality, and loyalty. In addition, this paper is aimed to provide Korean firms insights in strategic approaches about foreign consumers behavior. A conceptual model is developed and empirically tested against a sample of university students in Korea, who have buying experience of products from multinational firms. 290 samples were used for this analysis. Results of multiple regression analysis using SPSS 18.0 show that consumer's preferences for foreign products, brand awareness, and corporate reputation have a significant effect on the perceived quality of the product from multinational firms. The most important factor to influence the perceived quality was found to be a corporate reputation. But country of origin had not significant effect. Also it is found that both product and product related service quality are positive and statistically significant in explaining the customer's loyalty. Implications for increasing perceived quality and customer's loyalty for Korean products in the global market are discussed.