• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.9
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• pp.1467-1477
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• 2008

This research examined how customers evaluate fashion brand collaborations in speculating the collaboration factors, product, model, and designer. Respondents evaluated 8 different collaborate case cards from 1 to 8, presenting a certain fashion brand, who had recently teamed up with various kinds of product companies for collaboration. Product was found as the most important factor in evaluating the collaboration case cards, analyzed through Conjoint Analysis. Respondents segmented additionally by clothing involvement valued different collaboration factors; products for the high clothing involvement group and messenger and designer for the low clothing involvement group. All the segments and respondents chose the best the card presenting blue jeans, Mr. Chang, and B.S. Choi, as similarity for products, fame for mdoel, and similarity for designer, respectively.

• The Plant Pathology Journal
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• v.17 no.2
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• pp.83-87
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• 2001

Disease resistance in plants is often controlled by gene-for-gene mechanism in which avirulence (avr) gene products encoding by pathogens are specifically recognized, either directly or indirectly by plant disease resistance (R) gene products. Recent studies arising from molecular cloning of a number of R genes from various plant species that confer resistance to different pathogens and corresponding avr genes from various pathogens resulted in the accumulation of a wealth of knowledge on mode of action of gene-for-gene interaction. Specially, members of the NBS-LRR class of R genes encoding proteins containing a nucleotide binding site (NBS) and carboxyl-terminal leucine-rich repeats (LRRs) confer resistance to very different types of phytopathogens, such as bacteria, fungi, oomycetes, viruses, nematodes and aphids. This article reviewed the molecular events that occur up-stream of defense response pathway, specially, bacterial avr gene protein recognition mediated by NBS-LRR type R gene product in plant based on current research results of well studied model plants.

• Journal of Pharmacopuncture
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• v.23 no.4
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• pp.194-200
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• 2020

Objectives: In this study, the content of the honey produced by the flora of Turkey', physical, chemical and biological research aimed at active properties. Methods: Searched the database EMBASE/Pubmed and Turkish Medicine Index research article about Turkiye honeys' specialities. Results: Different botanical sources were caused, different kinds of chemical compositions of the honeys. The amount of HMF, pH, moisture, and acidity are the chemical qulity criteria of the honey. Carbohydrates are seem the most important components of honey. The glycemic index of the consumed honey is important. Turkiye's honey quality seems apropiate for using apitherapy. Conclusion: Honey is the most important product of beekeeping all over the world in terms of economy and health. Manufacturers of honey should be careful while producing honey. They should be avoided unhealty situations and they should be obey the rules. These rules are the basis for protecting our health by consuming bee products.

• Proceedings of the PSK Conference
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• 2003.10b
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• pp.246.2-247
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• 2003

Lately, soybeans have received considerable public attention for their potential roles in the prevention of the chronic diseases. Epidemiologic study showed that Asian countries have significant health benefits because of the high contents of the isoflavones in their traditional diets(soybean-rich diet). This study was carried out to determine pharmacokinetic parameters of isoflavone in Korean woman. Pharmacokinetic study of three soy products(isogen, soymilk, and fermented soybean) with different ration of aglycone/glucoside in 26 healthy female volunteers(20-30 years of age) was performed. (omitted)

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.193-197
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• 2021

Customers are increasingly attracted towards different e-commerce websites and applications for the purchase of products significantly. This is the reason the sellers are moving to different internet based services to sell their products online. The growth of customers in this sector has resulted in the use of big data analytics to understand customers' behavior in predicting the demand of items. It uses a complex process of examining large amount of data to uncover hidden patterns in the information. It is established on the basis of finding correlation between various parameters that are recorded, understanding purchase patterns and applying statistical measures on collected data. This paper is a document of the bottom-up strategy used to manage the selling price of a first-time product for maximizing profit while selling it online. It summarizes how existing customers' expectations can be used to increase the sale of product and attract the attention of the new customer for buying the new product.

• Journal of Applied Biological Chemistry
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• v.64 no.1
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• pp.57-61
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• 2021

Saikosaponin derivatives such as saikosaponins A, B1, B2, B3, B4, C, and D present in Bupleurum falcatum were analyzed by a high performance liquid chromatograph equipped with an evaporative light scattering detector, using different extraction solvents (water and 70% ethanol). The samples were injected into a YMC Pack Pro C18 column and separated using a gradient elution system with a mobile phase composed of acetonitrile and water at a flow rate of 1.1 mL/min. The content of saikosaponin derivatives was higher in 70% ethanol extract than in water extract. This study provides an efficient analytical method for determining the optimal conditions for extraction of saikosaponin derivatives, which can be used as a basis for development of functional foods and pharmaceutical products from B. falcatum.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.147-157
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• 2015

This study investigated the capsaicin content in 10 kinds of home produced red pepper and 7 kinds of red pepper processed products (3 kinds of red pepper powder, 3 kinds of sauce, and 1 kind of red pepper paste) by analyzing capsaicinoids using LC MS. For the variety of PR Changyang, on the other hand, the plant was divided into 5 parts [pericarp (tip, middle, and base), placenta, and seed] and capsaicinoids content was analyzed for each of the parts. Based on the results, capsaicinoids content was highest in the placenta, and next in the seed, base, middle, and tip. This result shows that the biosynthesis of capsaicinoids takes place in the placenta. Regarding the results from analyzing differences in capsaicinoids content among red pepper varieties, the content was highest in Mu han zil ju and lowest in PR Changyang, and the former had about 38 times higher content than the latter, showong that capsaicinoids content was highly varied among red pepper varieties. When red pepper processed products in the market were surveyed, capsaicinoids content did not differe greatly among sauce products, but was largely different among powder products.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.258-269
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• 2010

This study examines an evaluation on the effect of service quality of food products on tourist satisfaction. Style, pleasantness, reliability, kindness, and guarantee were selected as service quality factors for this study. Also, expected effects, purchase intention, and repurchase intention were used to examine tourists' satisfaction levels. To verify the relationship between the service quality of food products and tourist satisfaction, it used one hundred twenty sample cases. The results service quality are as follows. First, the types of service quality were drawn based on the characteristics of service quality. Second, the service quality of food products had positively significant influence on the satisfaction levels of purchase behavior. Third, the types of service quality and the satisfaction levels of purchase behavior were significantly different.

• IE interfaces
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• v.17 no.spc
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• pp.141-151
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• 2004

As today's business environment has become more and more competitive, forward as well as backward flows of products among members belonging to a supply chain have been increased. The backward flows of products, which are common in most industries, result from increasing amount of products that are returned, recalled, or need to be repaired. Effective management for the backward flows of products has become an important issue for businesses because of opportunities for simultaneously enhancing profitability and customer satisfaction from returned products. Since third party logistics service providers (3PLs) are playing an important role in reverse logistics operations, they should perform two simultaneous logistics operations for a number of different clients who want to improve their logistics operations for both forward and reverse flows. In this case, distribution networks have been independently designed with respect to either forward or backward flows so far. This paper proposes a mixed integer programming model for the design of network integrating both forward and reverse logistics. Since the network design problem belongs to a class of NP-hard problems, we present an efficient heuristic algorithm based on genetic algorithm (GA), of which the performance is compared to the lower bound by Lagrangian relaxation. Finally, the validity of proposed algorithm is tested using numerical examples.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.35-38
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• 2004

We developed a Near Real-Time Validation System (NRVS) for the Level-2 Products of AQUA Satellite. AQUA satellite is the second largest project of Earth Observing System (EOS) mission of NASA. This satellite provides the information of water cycle of the entire earth with many different forms. Among its products, we have used five kinds of level-2 geophysical parameters containing rain rate, sea surface wind speed, skin surface temperature, atmospheric temperature profile, and atmospheric humidity profile. To use these products in a scientific purpose, reasonable quantification is indispensable. In this paper we explain the near real-time validation system process and its detail algorithm. Its simulation results are also analyzed in a quantitative way. As reference data set in-situ measured meteorological data which are periodically gathered and provided by the Korea Meteorological Administration (KMA) is processed. Not only site-specific analysis but also time-series analysis of the validation results are explained and detail algorithms are described.