• Proceedings of the KSCN Conference
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• 2003.11a
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• pp.1070-1071
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• 2003

노년기의 독립적인 생활유지와 삶의 질을 향상시킬 수 있는 바람직한 영양섭취 방법을 모색하기 위한 종적연구의 대상자로 자원한 서울지역의 건강한 40-64세의 중년 293명(남 121명, 여172명)을 대상으로 생활습관과 영양섭취실태를 조사한 결과는 다음과 같다. 대상자의 평균 연령은 남자 52.0$\pm$7.3세, 여자 519$\pm$6.9세였고, 대부분 부부 중심으로 조사하였다. 교육수준은 남자의 71.9%, 여자의 39.5%가 대학졸업 이상이었으며, 남자의 43.0%가 전문직, 24.8%가 행정ㆍ사무직이었고, 가계의 한 달 평균 수입이 200만원 이상자가 72.5%로써 본 조사의 자원자는 대체적으로 고학력, 전문직종의 중류층이었다. 건강에 대한 염려를 가끔 또는 자주 하는 대상자가 66.9%로 건강에 대한 관심은 높았으나 건강을 지키기 위한 실천은 낮은 것으로 나타났다. 그 예로 지난 1년간 체중이 증가하고 있는 대상자가 37.5%였고, 이들 중 75%가 2kg 이상의 체중이 늘고 있지만 체중을 줄이려고 노력하는 대상자는 37.5%뿐이었다. 음주는 남성의 56.5%가 평균 주 2회 정도 하는 편이었고, 1회 음주량은 소주로 1병 이하가 대부분(88%)이었다. 현재 흡연자는 남자의 40.5%였고, 금연자는 30.6%로 비교적 흡연율이 낮았다. 식사시간은 대부분(83.6%) 규칙적이었다. 식사를 주 2-3회 이상 거르는 대상자가 남자는 23%인 반면 여자는 49%였고, 이들 대부분(60.3%)이 아침을 먹지 않았다. 1주일에 1번 이상 외식하는 대상자는 남자의 84%, 여자의 66%였다. 식사시 식품의 배합에 대하여 별로 관심이 없다는 사람이 50%였지만 실제로 식품군별 섭취 시에는 상당한 관심이 있는 것으로 나타났다. 즉, 육류의 기름기를 대충 또는 거의 다 제거하고 먹는 대상자가 남자의 68%, 여자의 88%였고, 육류를 자주 먹지 않거나 소량씩 먹는 대상자가 94%, 생선.두부 및 콩제품을 하루 1끼 이상 섭취하는 대상자가 87%, 채소를 하루 1번 이상 섭취하는 대상자가 96%인 반면, 인스턴트식품이나 패스트푸드를 주 2-3회 이상 먹는 대상자는 23% 정도였다. 영양지식점수(15.4$\pm$3.1/25)와 영양태도점수(50.5$\pm$4.9/75)는 비교적 양호하였다. 전체적으로 오답률이 높은 문항은 체중조절에 있어서 식사와 운동의 관계, 당뇨병 환자의 흰쌀밥 섭취 문제, 비타민제의 섭취와 감기, 고단백 식사의 문제점 등에 관한 것이었다. 반면 철분 섭취와 빈혈의 관계, 비만의 위험성, 동물성 기름의 섭취와 혈중 콜레스테롤치, 우유가 Ca의 급원이면서 성인에게도 필요하다는 것 등은 잘 인식되고 있었다. 조사 대상자의 평균 에너지 섭취량은 RDA의 77.3 $\pm$ 13.6%였으나, 이들 대부분(80%)의 활동 정도가 가벼운 활동에 속하므로 에너지가 부족하다고 할 수는 없다. 반면 평균 단백질 섭취량은 RDA의 109.9 $\pm$ 23.5%로 충분하였고, 3대 열량영양소 즉, 단백질:지방:탄수화물의 구성비는 16:22:62로 지방의 섭취가 약간 높으나 바람직한 구성비를 보였다. 권장량의 75% 이하를 섭취하고 있는 영양소는 칼슘(70.7$\pm$23.9%)뿐이었다. 과체중자의 비율을 체질량지수(BMI) 25이상으로 구분하면 남자의 45%, 여자의 23%가 과체중자로 나타나나, 23이상으로 구분하면 남자의 71%, 여자의 52%가 과체중자로 분류되었다. 이를 WHR의 기준치로 분류하면 남자의 25%, 여자의 26%가 과체중자로 나타났다. 대부분 대상자의 hemoglobin치(99%), hematocrit치(90%), 혈장 albumin치(99.7%)는 양호하였다. 혈당이 140mg/㎗ 이상인 대상자는 2.7%에 불과하였다. 혈중 총콜레스테롤치가 240mg/㎗ 이상인 대상자는 19%, 중성지방치가 250mg/㎗ 이상인 대상자는 9%, HDL-콜레스테롤치가 35mg/㎗ 이하인 대상자는 2.4%로 혈중 지질 profile은 양호하였다. 이상의 결과로 보아 본 연구 대상자는 영양섭취상태와 생화학적 건강상태가 양호하다고 판단되므로 종적연구의 대상자로 적합하다고 사료된다.

• Environmental Analysis Health and Toxicology
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• v.22 no.3
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• pp.255-261
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• 2007

To obtain the risk assessment of hazardous materials with maturing process of Rehmanniae Radix Preparata, the residual heavy metals and pesticides in samples are surveyed. Concentration of As, Cd and Pb during the maturing process of Rehmanniae Radix Preparata of Korea are $0.147{\pm}0.007\;mg/L,\;0.025{\pm}0.001\;mg/L\;and\;0.193{\pm}0.021\;mg/L$, respectively. Concentration of As, Cd and Pb during the maturing process of Rehmanniae Radix Preparat of China are $0.0145{\pm}0.014\;mg/L,\;0.023{\pm}0.002\;mg/L\;and\;0.299{\pm}0.013\;mg/L$, respectively. Concentration of As, Cd and Hg remain unchanged during the maturing process of Rehmanniae Radix Preparata. Concentration of As, Cd and Pb in Rehmanniae Radix Preparat on the Korea are 3.53%, 6.66% and 5.16% for Korea Food & Drug Administration (KFDA) advisory level, respectively. The residual pesticides, such as aldrin, $BHC-{\alpha},\;BHC-{\beta},\;BHC-{\gamma},\;BHC-{\delta}$, captan, chlorfenapyr, chlorpyrifos, DDD, DDE, DDT-o,p, DDT-p.p, dieldrin, endosulfan-sulfate, $endosulfan-{\alpha}$, $endosulfan-{\beta}$, fenitrothion, penthoate, permethrin, quintozene, tolyfluanid and vinclozolin, are not detected in Rehmanniae Radix Preparat on the Korea and China. The hazardous materials in Rehmanniae Radix Preparata on the Korea and China are verified the safety of the residual heavy metals and pesticides compare with Korea Food & Drug Administration (KFDA) advistory level.

• Korean Journal of Environmental Agriculture
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• v.30 no.3
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• pp.288-294
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• 2011

BACKGROUND: Methylmercury is analyzed by HPLC-ICP/MS because of the simplicity for sample preparation and interference. However, most of the pre-treatment methods for methylmercury need a further pH adjustment of the extracted solution and removal of organic matter for HPLC. The purpose of this study was to establish a rapid and accurate analytical method for determination of methylmercury in fish by using HPLC-ICP/MS. METHOD AND RESULTS: We conducted an experiment for pre-treatment and instrument conditions and analytical method verification. Pre-treatment condition was established with aqueous 1% L-cysteine HCl and heated at $60^{\circ}C$ in microwave for 20 min. Methylmercury in $50{\mu}L$ of filtered extract was separated by a C18 column and aqueous 0.1% L-cysteine HCl + 0.1% L-cysteine mobile phase at $25^{\circ}C$. The presence of cysteine in mobile phase and sample solution was essential to eliminate adsorption, peak tailing and memory effect problems. Correlation coefficient($r^2$) for the linearity was 0.9998. The limits of detection and quantitation for this method were 0.15 and $0.45{\mu}g/kg$ respectively. CONCLUSION: Result for analytical method verification, accuracy and repeatability of the analytes were in good agreement with the certified reference materials values of methylmercury at a 95% confidence level. The advantage of the established method is that the extracted solution can be directly injected into the HPLC column without additional processes and the memory effect of mercury in the ICP-MS can be eliminated.

• Korean Journal of Remote Sensing
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• v.35 no.5_1
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• pp.649-663
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• 2019

The 2018 United Nations Development Programme (UNDP) report announced that deforestation in North Korea is the most extreme situation and in terms of climate change, this deforestation is a global scale issue. To respond deforestation, various study and projects are conducted based on remote sensing, but access to public data in North Korea is limited, and objectivity is difficult to be guaranteed. In this study, the forest detection based on density estimation in statistic using Landsat imagery was conducted in Gangwon province which is the only administrative district divided into South and North. The forest spatial data of South Korea was used as data for the labeling of forest and Non-forest in the Normalized Difference Vegetation Index (NDVI), and a threshold (0.6658) for forest detection was set by Gaussian Probability Density Function (PDF) estimation by category. The results show that the forest area decreased until the 2000s in both Korea, but the area increased in 2010s. It is also confirmed that the reduction of forest area on the local scale is the same as the policy direction of urbanization and industrialization at that time. The Kappa value for validation was strong agreement (0.8) and moderate agreement (0.6), respectively. The detection based on the Gaussian PDF estimation is considered a method for complementing the statistical limitations of the existing detection method using satellite imagery. This study can be used as basic data for deforestation in North Korea and Based on the detection results, it is necessary to protect and restore forest resources.

• Journal of Food Hygiene and Safety
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• v.34 no.5
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• pp.447-453
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• 2019

In this study, the contamination of 4 types of heavy metals (lead, cadmium, arsenic, and mercury) was monitored in 80 seaweeds and their processed products, and a food safety assessment was also carried out for these heavy metals. Lead, cadmium and arsenic were analyzed by ICP-OES and mercury was analyzed by mercury analyzer. The detection ranges of heavy metals were found as follows: Pb (N.D-0.802 mg/kg), Cd (N.D-0.759 mg/kg), As (0.134-17.296 mg/kg), and Hg (0.0005-0.0331 mg/kg). Pb and Hg showed no significant differences among seaweeds whereas Cd and As were significantly higher in the species hizikia fusiforme (P<0.05). Food safety assessment from seaweed intake was measured by PTWI (Provisional Tolerable Weekly Intake), PTMI (Provisional Tolerable Monthly Intake), and MADL (Maximum Allowable Daily Body Load) as set by JECFA (Joint FAO/WHO Expert Committee on Food Additives). Pb and Hg were 0.197%, 0.036% of PTWI respectively, while Cd was 1.877% of PTMI and As was 0.619% of MADL. Therefore, it was found that heavy metal levels of seaweed were low and was considered to be safe for consumption.

• Korean Journal of Soil Science and Fertilizer
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• v.42 no.5
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• pp.399-407
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• 2009

Laser induced breakdown spectroscopy(LIBS) is an simple analysis method for directly quantifying many kinds of soil micro-elements on site using a small size of laser without pre-treatment at any property of materials(solid, liquid and gas). The purpose of this study were to find an optimum condition of the LIBS measurement including wavelengths for quantifying soil elements, to relate spectral properties to the concentration of soil elements using LIBS as a simultaneous un-breakdown quantitative analysis technology, which can be applied for the safety assessment of agricultural products and precision agriculture, and to compare the results with a standardized chemical analysis method. Soil samples classified as fine-silty, mixed, thermic Typic Hapludalf(Memphis series) from grassland and uplands in Tennessee, USA were collected, crushed, and prepared for further analysis or LIBS measurement. The samples were measured using LIBS ranged from 200 to 600 nm(0.03 nm interval) with a Nd:YAG laser at 532 nm, with a beam energy of 25 mJ per pulse, a pulse width of 5 ns, and a repetition rate of 10 Hz. The optimum wavelength(${\lambda}nm$) of LIBS for estimating soil and plant elements were 308.2 nm for Al, 428.3 nm for Ca, 247.8 nm for T-C, 438.3 nm for Fe, 766.5 nm for K, 85.2 nm for Mg, 330.2 nm for Na, 213.6 nm for P, 180.7 nm for S, 288.2 nm for Si, and 351.9 nm for Ti, respectively. Coefficients of determination($r^2$) of calibration curve using standard reference soil samples for each element from LIBS measurement were ranged from 0.863 to 0.977. In comparison with ICP-AES(Inductively coupled plasma atomic emission spectroscopy) measurement, measurement error in terms of relative standard error were calculated. Silicon dioxide(SiO2) concentration estimated from two methods showed good agreement with -3.5% of relative standard error. The relative standard errors for the other elements were high. It implies that the prediction accuracy is low which might be caused by matrix effect such as particle size and constituent of soils. It is necessary to enhance the measurement and prediction accuracy of LIBS by improving pretreatment process, standard reference soil samples, and measurement method for a reliable quantification method.

• Journal of Food Hygiene and Safety
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• v.34 no.3
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• pp.235-241
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• 2019

An analytical method was developed for the determination of an antibiotic fungicide, kasugamycin, in agricultural products (hulled rice, potato, soybean, mandarin and green pepper) using liquid chromatographytandem mass spectrometry (LC-MS/MS). Samples were extracted with methanol adjusted to pH 13 using 1 N sodium hydroxide, and purified with a HLB (hydrophilic lipophilic balance) cartridge. Linearity of a matrix-matched calibration curve using seven concentration levels, from 0.001 to 0.1 mg/kg, was excellent with a correlation coefficient ($R^2$) of more than 0.9998. The limits of detection (LOD) and quantification (LOQ) of instrument were 0.0005 and $0.001{\mu}g/mL$, respectively, and the LOQ of analytical method calculated as 0.01 mg/kg. The average recoveries at three spiking levels (LOQ, $LOQ{\times}10$, $LOQ{\times}50$, n=5) were in the range of 71.2~95.4% with relative standard deviation of less than 12.1%. The developed method was simple and all optimized results was satisfied with the criteria ranges requested in the Codex guidelines and Food Safety Evaluation Department guidelines. The present study could be served as a reference for the establishment of maximum residue limits (MRL) of kasugamycin and be used as basic data for safety management relative to kasugamycin residues in imported and domestic agricultural products.

• Journal of the Korean Society for information Management
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• v.40 no.3
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• pp.25-54
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• 2023

At a time when open data receives attention as an international trend, there is a need to discuss the role of international journals in Korea to support data sharing. Based on surveys and interviews of editors from the international journals, we identified factors affecting the policy adoption and examined the journal editors' perception on the adoption and components of the data sharing policy. As a result, scholarly journals that have adopted or are planning to adopt policies have recognized that data sharing is an international trend and can contribute to research development, but they stressed that efforts to improve the perception of data sharing were still necessary. Educational activities and compensation for sharing data were needed at scholarly journals' and communities' level. Also, components perceived important and selected by more than half of the editors as mandatory were 'data availability statement', 'data sharing level', 'data sharing method', and 'data citation'. While scholarly journals do not always need to mandate data sharing, it was necessary to mention conditions where data cannot be shared through data availability statements. The role of the organization developing and operating a repository appropriate for situations in Korea was also emphasized. In addition, by identifying factors affecting the policy adoption, significant differences were found in Journal Impact Factor quartiles, publication type, and subject area. This finding indicated that journals with a high impact factor are likely to have resources to support data sharing, and open access or hybrid journals are likely to have interest in open data as a part of open science. In the medical research area, active movements for data sharing in academic communities have promoted the adoption of data sharing policies. This study would be used as basic data to facilitate the adopton and operation of scholarly journals' data sharing policies in Korea.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• The Korean Journal of Archival Studies
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• no.26
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• pp.103-149
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• 2010

Documentation strategy has been experimented in various subject areas and local regions since late 1980's when it was proposed as archival appraisal and selection methods by archival communities in the United States. Though it was criticized to be too ideal, it needs to shed new light on the potentialities of the strategy for documenting local regions in digital environment. The purpose of this study is to analyse the implementation issues of documentation strategy and to suggest the directions for documenting local regions of Korea through the application of the strategy. The documentation strategy which was developed more than twenty years ago in mostly western countries gives us some implications for documenting local regions even in current digital environments. They are as follows; Firstly, documentation strategy can enhance the value of archivists as well as archives in local regions because archivist should be active shaper of history rather than passive receiver of archives according to the strategy. It can also be a solution for overcoming poor conditions of local archives management in Korea. Secondly, the strategy can encourage cooperation between collecting institutions including museums, libraries, archives, cultural centers, history institutions, etc. in each local region. In the networked environment the cooperation can be achieved more effectively than in traditional environment where the heavy workload of cooperative institutions is needed. Thirdly, the strategy can facilitate solidarity of various groups in local region. According to the analysis of the strategy projects, it is essential to collect their knowledge, passion, and enthusiasm of related groups to effectively implement the strategy. It can also provide a methodology for minor groups of society to document their memories. This study suggests the directions of documenting local regions in consideration of current archival infrastructure of Korean as follows; Firstly, very selective and intensive documentation should be pursued rather than comprehensive one for documenting local regions. Though it is a very political problem to decide what subject has priority for documentation, interests of local community members as well as professional groups should be considered in the decision-making process seriously. Secondly, it is effective to plan integrated representation of local history in the distributed custody of local archives. It would be desirable to implement archival gateway for integrated search and representation of local archives regardless of the location of archives. Thirdly, it is necessary to try digital documentation using Web 2.0 technologies. Documentation strategy as the methodology of selecting and acquiring archives can not avoid subjectivity and prejudices of appraiser completely. To mitigate the problems, open documentation system should be prepared for reflecting different interests of different groups. Fourth, it is desirable to apply a conspectus model used in cooperative collection management of libraries to document local regions digitally. Conspectus can show existing documentation strength and future documentation intensity for each participating institution. Using this, documentation level of each subject area can be set up cooperatively and effectively in the local regions.