• Journal of Nutrition and Health
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• v.9 no.1
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• pp.76-83
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• 1976

The aims of this study are, 1) to describe the attitudes of the community towards each food item and 2) to provide the information necessary for the solution of nutritional problems due to the different food intake of the community. This study is based on the Food Consumption Survey conducted by the Ministry of Health and Social Affairs in a series of National Nutrition Survey in August, 1973. The sample included 8 communities, in which 160 households were selected at random for this study. The procedures and methods used in this study to compute the acceptability index were adopted from the study of H. Toyokawa, University of Tokyo. Food attitudes of the sample communities are clear in terms of the mean acceptability index which is presented in Table 3. The following order is indicative of the relative strength of acceptability of the respective food items: 1. Seasonings (-1.20) 2. Oils and fats (-1.12) 3. Pulses(- .60) 4. Processed vegetables (- .45) 5. Seaweeds (- .32) 6. Sugars (- .19) 7. Fresh vegetables (- .15) 8. Rice (- .13) 9. Cereals and grain products (- .07) 10. Starchy roots (- .06) 11. Fresh fish and shells (.44) 12. Processed fish and shells (.56) 13. Eggs (1.06) 14. Fruits (1.26) 15. Meats and poultry (1.33) 16. Milk and milk products (2.87) There are highly significant difference in the acceptability index between food items and the mean intake of rice, cereals and grain products, pulses, starchy roots, processed vegetables, fruits, sugars, seaweeds, seasonings, meats and poultry, eggs, fresh and shells, and oils and fats between the communities at the .01 level of significance.

• International Commerce and Information Review
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• v.15 no.1
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• pp.35-65
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• 2013

In December 2012, the Ministry of Land, Transport and Maritime Affairs and Ministry of Knowledge Economy held a commission and distributed a standardized logistics contract between the shipper and the logistics companies in order to spread and to promote contract standardization. With such background in place, this study examines the leading research on different types and attributions in present logistics contracts in order to propose guidelines for creating contract clauses that would lead to a win-win relationship among the parties involved in the logistics outsourcing relationships. This study further compares and contrasts the concreteness of local and international logistics contracts through case studies, and provides practical thought-provoking points on concretization of clauses on potential risks and additional expenses for local logistics companies when signing logistics contracts. Firstly, the composition and contents of both local and international logistics contracts are similar in the way that both deal with the basic principles between the concerned parties such as the following: contract terms, validity, scope of work, operational procedures, payment terms, and dispute resolutions. Secondly, for flexibility of potential dispute resolution, both logistics contracts define the definition of dispute and follow the classical contractual approach of dispute resolution through third-party arbitration. Thirdly, compared to local contracts, international logistics contracts provide more concretized and specific clauses on the occurrence of potential risks and hazards; on the other hand, compared to international logistics contracts, it seemed that local contracts contained more clauses in favor of the shipper. This research then suggests ideas to eliminate the classic tradition - logistics companies enduring the damages that occur as a result of the structural differences between the shipper and the logistics companies - through efforts to actively negotiate in advance the predictable problems and risks and by reflecting the mutually agreed points in the contract, and further offers guidelines on contract concretization for distribution of standardized logistics contracts in the future.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.21 no.1
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• pp.1-10
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• 2016

Currently available surface seawater partial pressure carbon dioxide ($pCO_2$) data sets in the East Sea are not enough to quantify statistically the carbon dioxide flux through the air-sea interface. To complement the scarcity of the $pCO_2$ measurements, we construct a neural network (NN) model based on satellite data to map $pCO_2$ for the areas, which were not observed. The NN model is constructed for the Ulleung Basin, where $pCO_2$ data are best available, to map and estimate the variability of $pCO_2$ based on in situ $pCO_2$ for the years from 2003 to 2012, and the sea surface temperature (SST) and chlorophyll data from the MODIS (Moderate-resolution Imaging Spectroradiometer) sensor of the Aqua satellite along with geographic information. The NN model was trained to achieve higher than 95% of a correlation between in situ and predicted $pCO_2$ values. The RMSE (root mean square error) of the NN model output was $19.2{\mu}atm$ and much less than the variability of in situ $pCO_2$. The variability of $pCO_2$ with respect to SST and chlorophyll shows a strong negative correlation with SST than chlorophyll. As SST decreases the variability of $pCO_2$ increases. When SST is lower than $15^{\circ}C$, $pCO_2$ variability is clearly affected by both SST and chlorophyll. In contrast when SST is higher than $15^{\circ}C$, the variability of $pCO_2$ is less sensitive to changes in SST and chlorophyll. The mean rate of the annual $pCO_2$ increase estimated by the NN model output in the Ulleung Basin is $0.8{\mu}atm\;yr^{-1}$ from 2003 to 2014. As NN model can successfully map $pCO_2$ data for the whole study area with a higher resolution and less RMSE compared to the previous studies, the NN model can be a potentially useful tool for the understanding of the carbon cycle in the East Sea, where accessibility is limited by the international affairs.