• 제목/요약/키워드: Products Review

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식품 내 콜레스테롤 산화 생성물(COPs)의 생성 및 억제; 개요 (Formation and Inhibition of Cholesterol Oxidation Products (COPs) in Foods; An Overview )

  • 김주신
    • 한국응용과학기술학회지
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    • 제40권5호
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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.

천연물의 위식도역류질환 예방, 치료 효과에 대한 실험연구 현황 – Pubmed를 중심으로 (Experimental study trends on the prevention and treatment effects of herbal medicine for gastroesophageal reflux disease (GERD) - based on Pubmed)

  • 김용빈;김영식
    • 대한한의학방제학회지
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    • 제31권4호
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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.

사용자 리뷰를 이용한 상품 특징 추출 및 평점 분배 (Product Feature Extraction and Rating Distribution Using User Reviews)

  • 손수빈;전종훈
    • 한국전자거래학회지
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    • 제22권1호
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    • pp.65-87
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    • 2017
  • 온라인 쇼핑몰에서 상품에 대한 사용자 리뷰와 평점을 분석하여 상품의 특징을 자동으로 추출하고 평점이 어떤 특징에 의해 부여된 것인지 판단하여 각 특징에 분배하여 점수화함으로써 상품의 특징을 파악할 수 있는 방법을 제안한다. 기존 방식은 상품 구매 여부를 결정하기 위해서 많은 리뷰와 평점을 읽는데 시간을 허비하거나, 상품의 장단점을 파악하기 어려울 뿐더러 상품에 부여된 평점이 어떠한 특징에 의해서 부여되었는지 알 수 없는 구조로 되어있다. 따라서 본 논문에서는 이러한 문제를 해소하기 위하여 사용자 리뷰에서 상품의 특징을 자동으로 추출하고 각 특징별 평점을 전체 평점에서 자동으로 분배 계산하여 보여주는 방법을 제안한다. 제안하는 방법은 상품별 리뷰와 평점을 수집하여 형태소 분석을 수행하고 이를 통해 상품의 특징과 이에 대한 감성어를 추출한다. 또한, 상품의 특징을 파악할 수 있도록 각 특징에 대한 가중치를 특징이 출현한 문장의 극성을 판단하여 부여하는 방법을 기술한다. 실험을 통하여 얻은 결과와 기존 방법을 비교하는 설문조사를 통하여 제안하는 방법의 유용성을 입증하였고, 상품 리뷰 전문가의 분석과 실험의 결과를 비교함으로써 타당성을 입증하였다.

리뷰 데이터와 제품 정보를 이용한 멀티모달 감성분석 (Multimodal Sentiment Analysis Using Review Data and Product Information)

  • 황호현;이경찬;유진이;이영훈
    • 한국전자거래학회지
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    • 제27권1호
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    • pp.15-28
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    • 2022
  • 최근 의류 등의 특정 쇼핑몰의 온라인 시장이 크게 확대되면서, 사용자의 리뷰를 활용하는 것이 주요한 마케팅 방안이 되었다. 이를 이용한 감성분석에 대한 연구들도 많이 진행되고 있다. 감성분석은 사용자의 리뷰를 긍정과 부정 그리고 필요에 따라서 중립으로 분류하는 방법이다. 이 방법은 크게 머신러닝 기반의 감성분석과 사전기반의 감성분석으로 나눌 수 있다. 머신러닝 기반의 감성분석은 사용자의 리뷰 데이터와 그에 대응하는 감성 라벨을 이용해서 분류 모델을 학습하는 방법이다. 감성분석 분야의 연구가 발전하면서 리뷰와 함께 제공되는 이미지나 영상 데이터 등을 함께 고려하여 학습하는 멀티모달 방식의 모델들이 연구되고 있다. 리뷰 데이터에서 제품의 카테고리와 사용자별로 사용되는 단어 등의 특징이 다르다. 따라서 본 논문에서는 리뷰데이터와 제품 정보를 동시에 고려하여 감성분석을 진행한다. 리뷰를 분류하는 모델로는 기본 순환신경망 구조에서 Gate 방식을 도입한 Gated Recurrent Unit(GRU), Long Short-Term Memory(LSTM) 그리고 Self Attention 기반의 Multi-head Attention 모델, Bidirectional Encoder Representation from Transformer(BERT)를 사용해서 각각 성능을 비교하였다. 제품 정보는 모두 동일한 Multi-Layer Perceptron(MLP) 모델을 이용하였다. 본 논문에서는 사용자 리뷰를 활용한 Baseline Classifier의 정보와 제품 정보를 활용한 MLP모델의 결과를 결합하는 방법을 제안하며 실제 데이터를 통해 성능의 우수함을 보인다.

의적클레임검토의 역할 및 기능 (Role of the medical claims review)

  • 이신형
    • 보험의학회지
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    • 제26권
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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.

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텍스트 마이닝 기반의 온라인 상품 리뷰 추출을 통한 목적별 맞춤화 정보 도출 방법론 연구 (A Study on the Method for Extracting the Purpose-Specific Customized Information from Online Product Reviews based on Text Mining)

  • 김주영;김동수
    • 한국전자거래학회지
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    • 제21권2호
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    • pp.151-161
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    • 2016
  • 개방, 공유, 참여를 특징으로 하는 웹 2.0 시대로 들어서면서 인터넷 사용자들의 데이터 생산 및 공유가 쉬워졌다. 이에 따른 데이터의 기하급수적인 증가와 함께 디지털 정보의 대부분인 비정형적 데이터(Unstructured Data)의 양도 증가하고 있다. 인터넷에서 정해진 형식 없이 자연어 형태로 만들어진 비정형 데이터 중, 특정 상품들에 대해 개인이 평가한 리뷰들은 해당 기업이나 해당 상품에 관심이 있는 잠재적 고객에게 필요한 데이터이다. 많은 양의 리뷰 데이터에서 상품에 대한 유용한 정보를 얻기 위해서는 데이터 수집, 저장, 전처리, 분석, 및 결론 도출의 과정이 필요하다. 따라서 본 연구는 R을 이용한 텍스트 마이닝(Text Mining) 기법을 사용하여 텍스트 형식의 비정형 데이터에서 자연어 처리 기술 및 문서 처리 기술을 적용하여 정형화된 데이터 값을 도출하는 방법에 대해 소개한다. 또한, 도출된 정형화된 리뷰 정보를 데이터 마이닝 기법에 적용하여 목적에 맞게 맞춤화된 리뷰 정보를 도출시키는 방안을 제시하고자 한다.

국내 허가된 해열.진통.소염제의 치료중복 주의 가이드라인 개발 (Development of Drug Utilization Review Guidelines for Therapeutic Duplication of Antipyretics, Analgesics, and Anti-inflammatory Drugs Registered in Korea)

  • 이영숙;김남효;손현순;최경업;신현택
    • 한국임상약학회지
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    • 제20권3호
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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.

Dietary Intake of Soy Products, Vegetables, and Dairy Products and Gastric Cancer Survival according to Histological Subtype: a Long-term Prospective Cohort Study

  • Kwak, Jung Hyun;Park, Chan Hyuk;Eun, Chang Soo;Han, Dong Soo;Kim, Yong Sung;Song, Kyu Sang;Choi, Bo Youl;Kim, Hyun Ja
    • Journal of Gastric Cancer
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    • 제21권4호
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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.

국내 시판 어린이 점토제품 중 보존제 함유량 조사 (Preservatives in Domestic and Imported Children's Clay Products)

  • 정선혜;허진영;오지희;박나연;고영림
    • 한국환경보건학회지
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    • 제48권1호
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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.

외산제품선호경향 및 외재적 단서가 지각된 품질과 고객충성도에 미치는 영향 : 다국적기업 제품을 중심으로 (Effects of Preferences for Foreign Product and Extrinsic Cues on the Perceived Quality and Customer's Loyalty : Focused on Products of Multinational Corporations)

  • 홍성헌
    • 통상정보연구
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    • 제12권2호
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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.

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